On this page, you find our publications sorted by research area. Some publications are listed in multiple sections. To see a list of publications chronologically, please visit our publication page.

Recommender Systems

AutoRecSys (Automated Recommender Systems)

Vente, Tobias

Advancing Automation of Design Decisions in Recommender System Pipelines Proceedings Article

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1355-1360, 2023.

Abstract | Links | BibTeX

Wegmeth, Lukas

Improving Recommender Systems Through the Automation of Design Decisions Proceedings Article

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1332-1338, 2023.

Abstract | Links | BibTeX

Vente, Tobias; Ekstrand, Michael; Beel, Joeran

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit Proceedings Article

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1212-1216, 2023.

Abstract | Links | BibTeX

Wegmeth, Lukas; Vente, Tobias; Beel, Joeran

The Challenges of Algorithm Selection and Hyperparameter Optimization for Recommender Systems Journal Article

In: COSEAL Workshop 2023, 2023.

Links | BibTeX

Wegmeth, Lukas; Beel, Joeran

CaMeLS: Cooperative Meta-Learning Service for Recommender Systems Proceedings Article

In: Proceedings of the 2nd Perspectives on the Evaluation of Recommender Systems Workshop, pp. 10–18, 2022.

Abstract | Links | BibTeX

Wegmeth, Lukas; Beel, Joeran

Cooperative Meta-Learning Service for Recommender Systems Journal Article

In: COSEAL Workshop 2022, 2022.

Links | BibTeX

Vente, Tobias; Purucker, Lennart; Beel, Joeran

The Feasibility of Greedy Ensemble Selection for Automated Recommender Systems Journal Article

In: COSEAL Workshop 2022, 2022.

Links | BibTeX

Gupta, Srijan; Beel, Joeran

Auto-CaseRec: Automatically Selecting and Optimizing Recommendation-Systems Algorithms Journal Article

In: OSF Preprints DOI:10.31219/osf.io/4znmd,, 2020.

Links | BibTeX

Anand, Rohan; Beel, Joeran

Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization Proceedings Article

In: 14th ACM Conference on Recommender Systems (RecSys), pp. 1–4, 2020.

Abstract | Links | BibTeX

Arambakam, Mukesh; Beel, Joeran

Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries Proceedings Article

In: 7th ICML Workshop on Automated Machine Learning, pp. 1–8, 2020.

Links | BibTeX

Collins, Andrew; Tierney, Laura; Beel, Joeran

Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering Journal Article

In: arXiv, no. 2012.15151, 2020.

Abstract | Links | BibTeX

Collins, Andrew; Beel, Joeran

A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems Proceedings Article

In: Workshop on Recommendation in Complex Scenarios, 13th ACM Conference on Recommender Systems (RecSys), 2019.

BibTeX

Beel, Joeran; Kotthoff, Lars

Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) Proceedings Article

In: Proceddings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 1–9, CEUR-WS, 2019.

BibTeX

Beel, Joeran; Kotthoff, Lars

Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) Proceedings Article

In: Azzopardi, L.; Stein, B.; Fuhr, N.; Mayr, P.; Hauff, C.; Hiemstra, D. (Ed.): Proceedings of the 41st European Conference on Information Retrieval (ECIR), pp. 383–388, Springer, 2019.

Abstract | Links | BibTeX

Collins, Andrew; Tkaczyk, Dominika; Beel, Joeran

A Novel Approach to Recommendation Algorithm Selection using Meta-Learning Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 210–219, CEUR-WS, 2018.

BibTeX

Tkaczyk, Dominika; Sheridan, Paraic; Beel, Joeran

ParsRec: A Meta-Learning Recommender System for Bibliographic Reference Parsing Tools Proceedings Article

In: Proceedings of the 12th ACM Conference on Recommender Systems (RecSys), pp. 387–388, ACM, Fort Worth, Texas, USA, 2018.

Links | BibTeX

Tkaczyk, Dominika; Gupta, Rohit; Cinti, Riccardo; Beel, Joeran

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 162–173, CEUR-WS, 2018.

BibTeX

Beel, Joeran

A Macro/Micro Recommender System for Recommendation Algorithms [Proposal] Journal Article

In: ResearchGate https://www.researchgate.net/publication/322138236_A_MacroMicro_Recommender_System_for_Recommendation_Algorithms_Proposal, 2017.

Links | BibTeX

Evaluation, Reproducibility, and RecSys Pipelines

Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart; Beel, Joeran

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy Proceedings Article

In: Proceedings of the 3rd Perspectives on the Evaluation of Recommender Systems Workshop, 2023.

Abstract | Links | BibTeX

Wegmeth, Lukas

The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study Proceedings Article

In: arXiv:2207.08713, 2022.

Abstract | Links | BibTeX

Scheidt, Teresa; Beel, Joeran

Time-dependent Evaluation of Recommender Systems Proceedings Article

In: Perspectives on the Evaluation of Recommender Systems Workshop, ACM RecSys Conference, 2021.

Abstract | Links | BibTeX

Beel, Joeran; Breitinger, Corinna; Langer, Stefan; Lommatzsch, Andreas; Gipp, Bela

Towards Reproducibility in Recommender-Systems Research Journal Article

In: User Modeling and User-Adapted Interaction (UMUAI), vol. 26, no. 1, pp. 69-101, 2016.

Links | BibTeX

Beel, Joeran; Langer, Stefan

A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems Proceedings Article

In: Kapidakis, Sarantos; Mazurek, Cezary; Werla, Marcin (Ed.): Proceedings of the 19th International Conference on Theory and Practice of Digital Libraries (TPDL), pp. 153-168, 2015.

Links | BibTeX

Langer, Stefan; Beel, Joeran

The Comparability of Recommender System Evaluations and Characteristics of Docear's Users Proceedings Article

In: Proceedings of the Workshop on Recommender Systems Evaluation: Dimensions and Design (REDD) at the 2014 ACM Conference Series on Recommender Systems (RecSys), pp. 1–6, CEUR-WS, 2014.

BibTeX

Beel, Joeran; Langer, Stefan; Nuenberger, Andreas; Genzmehr, Marcel

The Impact of Demographics (Age and Gender) and Other User Characteristics on Evaluating Recommender Systems Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 400–404, Springer, Valletta, Malta, 2013.

BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Gipp, Bela; Nürnberger, Andreas

A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation Proceedings Article

In: Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys), pp. 7-14, 2013.

Links | BibTeX

Beel, Joeran

Evaluations in Information Retrieval: Click Through Rate (CTR) vs. Mean Absolute Error (MAE) vs. (Root) Mean Squared Error (MSE / RMSE) vs. Precision electronic

2012.

Links | BibTeX

Algorithms for Recommender Systems, User Modelling, and Term Weighting

Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart; Beel, Joeran

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy Proceedings Article

In: Proceedings of the 3rd Perspectives on the Evaluation of Recommender Systems Workshop, 2023.

Abstract | Links | BibTeX

Scheidt, Teresa; Beel, Joeran

Time-dependent Evaluation of Recommender Systems Proceedings Article

In: Perspectives on the Evaluation of Recommender Systems Workshop, ACM RecSys Conference, 2021.

Abstract | Links | BibTeX

Marwah, Divyanshu; Beel, Joeran

Term-Recency for TF-IDF, BM25 and USE Term Weighting Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 36–41, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Molloy, Paul; Beel, Joeran; Aizawa, Akiko

Virtual Citation Proximity (VCP): Empowering Document Recommender Systems by Learning a Hypothetical In-Text Citation-Proximity Metric for Uncited Documents Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 1–8, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Carroll, Oisín; Beel, Joeran

Finite Group Equivariant Neural Networks for Games Journal Article

In: arXiv, no. 2009.05027, pp. 1–8, 2020.

Links | BibTeX

Al-Rawi, Mohammed; Beel, Joeran

Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies Journal Article

In: arXiv:2009.03005, 2020.

Abstract | Links | BibTeX

Scharpf, Philipp; Mackerracher, Ian; Schubotz, Moritz; Beel, Joeran; Breitinger, Corinna; Gipp, Bela

AnnoMathTeX - a Formula Annotation Recommender System for STEM Documents Proceedings Article

In: 13th ACM Conference on Recommender Systems (RecSys), 2019.

BibTeX

Edenhofer, Gordian; Collins, Andrew; Aizawa, Akiko; Beel, Joeran

Augmenting the DonorsChoose.org Corpus for Meta-Learning Proceedings Article

In: Proceedings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 32–38, CEUR-WS, 2019.

BibTeX

Hassan, Hebatallah A. Mohamed; Sansonetti, Giuseppe; Gasparetti, Fabio; Micarelli, Alessandro; Beel, Joeran

BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation? Proceedings Article

In: 13th ACM Conference on Recommender Systems (RecSys), pp. 6–10, CEUR-WS, 2019.

BibTeX

Beierle, Felix; Aizawa, Akiko; Collins, Andrew; Beel, Joeran

Choice overload and recommendation effectiveness in related-article recommendations Journal Article

In: International Journal of Digital Libraries (IJDL), pp. 1–16, 2019.

Links | BibTeX

Tunstead, Keith; Beel, Joeran

Combating Stagnation in Reinforcement Learning Through 'Guided Learning' With 'Taught-Response Memory' Proceedings Article

In: 3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) at the ECML PKDD Conference, 2019.

BibTeX

Beel, Joeran; Griffin, Alan; O'Shey, Conor

Darwin & Goliath: Recommendations-As-a-Service with Automated Algorithm-Selection and White-Labels Proceedings Article

In: Azzopardi, Leif; Stein, Benno; Fuhr, Norbert; Mayr, Philipp; Hauff, Claudia; Hiemstra, Djoerd (Ed.): 13th ACM Conference on Recommender Systems (RecSys), pp. 213–219, 2019.

Links | BibTeX

Collins, Andrew; Beel, Joeran

Document Embeddings vs. Keyphrases vs. Terms: A Large-Scale Online Evaluation in Digital Library Recommender Systems Proceedings Article

In: Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019.

BibTeX

Collier, Mark; Beel, Joeran

Memory-Augmented Neural Networks for Machine Translation Proceedings Article

In: Proceedings of the Machine Translation (MT) Summit, 2019.

BibTeX

Beel, Joeran; Smyth, Barry; Collins, Andrew

RARD II: The 94 Million Related-Article Recommendation Dataset Proceedings Article

In: Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 39–55, CEUR-WS, 2019.

BibTeX

Beel, Joeran; Molley, Paul

Siamese Citation Proximity: A Siamese Neural Network Architecture for Learning Citation-Based Document Relatedness of Uncited Documents Proceedings Article

In: Under Review, 2019.

BibTeX

Collier, Mark; Beel, Joeran

Implementing Neural Turing Machines Proceedings Article

In: Kůrková, Věra; Manolopoulos, Yannis; Hammer, Barbara; Iliadis, Lazaros; Maglogiannis, Ilias (Ed.): 27th International Conference on Artificial Neural Networks (ICANN), pp. 94–104, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-01424-7.

Abstract | Links | BibTeX

Collins, Andrew; Tkaczyk, Dominika; Aizawa, Akiko; Beel, Joeran

Position Bias in Recommender Systems for Digital Libraries Proceedings Article

In: Proceedings of the iConference, pp. 335-344, Springer, 2018.

Links | BibTeX

Beel, Joeran; Collins, Andrew; Aizawa, Akiko

The Architecture of Mr. DLib’s Scientific Recommender-System API Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 78–89, CEUR-WS, 2018.

Abstract | BibTeX

Langer, Stefan; Beel, Joeran

Apache Lucene as Content-Based-Filtering Recommender System: 3 Lessons Learned Proceedings Article

In: 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), pp. 85-92, 2017.

BibTeX

Beel, Joeran; Breitinger, Corinna; Langer, Stefan

Evaluating the CC-IDF citation-weighting scheme: How effectively can 'Inverse Document Frequency' (IDF) be applied to references? Proceedings Article

In: Proceedings of the 12th iConference, 2017.

Abstract | BibTeX

Beierle, Felix; Aizawa, Akiko; Beel, Joeran

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries Proceedings Article

In: 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), pp. 51–61, 2017.

BibTeX

Feyer, Stefan; Siebert, Sophie; Gipp, Bela; Aizawa, Akiko; Beel, Joeran

Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef Proceedings Article

In: Proceedings of the 39th European Conference on Information Retrieval (ECIR), pp. 770–774, 2017.

BibTeX

Beel, Joeran; Aizawa, Akiko; Breitinger, Corinna; Gipp, Bela

Mr. DLib: Recommendations-as-a-service (RaaS) for Academia Proceedings Article

In: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries, pp. 313–314, IEEE Press, Toronto, Ontario, Canada, 2017, ISBN: 978-1-5386-3861-3.

Links | BibTeX

Beel, Joeran; Dinesh, Siddharth

Real-World Recommender Systems for Academia: The Gain and Pain in Developing, Operating, and Researching them Proceedings Article

In: Mayr, Philipp; Frommholz, Ingo; Cabanac, Guillaume (Ed.): Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), pp. 6-17, 2017.

Links | BibTeX

Beel, Joeran; Dinesh, Siddharth; Mayr, Philipp; Carevic, Zeljko; Raghvendra, Jain

Stereotype and Most-Popular Recommendations in the Digital Library Sowiport Proceedings Article

In: Proceedings of the 15th International Symposium of Information Science (ISI), pp. 96–108, 2017.

BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela

TF-IDuF: A Novel Term-Weighting Scheme for User Modeling based on Users' Personal Document Collections Proceedings Article

In: Proceedings of the 12th iConference, 2017.

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela; Langer, Stefan; Breitinger, Corinna

Research Paper Recommender Systems: A Literature Survey Journal Article

In: International Journal on Digital Libraries, no. 4, pp. 305–338, 2016, ISSN: 1432-5012.

Links | BibTeX

Beel, Joeran; Breitinger, Corinna; Langer, Stefan; Lommatzsch, Andreas; Gipp, Bela

Towards Reproducibility in Recommender-Systems Research Journal Article

In: User Modeling and User-Adapted Interaction (UMUAI), vol. 26, no. 1, pp. 69-101, 2016.

Links | BibTeX

Beel, Joeran; Langer, Stefan

A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems Proceedings Article

In: Kapidakis, Sarantos; Mazurek, Cezary; Werla, Marcin (Ed.): Proceedings of the 19th International Conference on Theory and Practice of Digital Libraries (TPDL), pp. 153-168, 2015.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Kapitsaki, Georgia M.; Breitinger, Corinna; Gipp, Bela

Exploring the Potential of User Modeling based on Mind Maps Proceedings Article

In: Ricci, Francesco; Bontcheva, Kalina; Conlan, Owen; Lawless, Séamus (Ed.): Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization (UMAP), pp. 3-17, Springer, 2015.

Links | BibTeX

Beel, Joeran

Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps Journal Article

In: PhD Thesis. Otto-von-Guericke Universität Magdeburg, 2015.

BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela; Nuernberger, Andreas

The Architecture and Datasets of Docear's Research Paper Recommender System Journal Article

In: D-Lib Magazine, vol. 20, no. 11/12, 2014.

Links | BibTeX

Langer, Stefan; Beel, Joeran

The Comparability of Recommender System Evaluations and Characteristics of Docear's Users Proceedings Article

In: Proceedings of the Workshop on Recommender Systems Evaluation: Dimensions and Design (REDD) at the 2014 ACM Conference Series on Recommender Systems (RecSys), pp. 1–6, CEUR-WS, 2014.

BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Gipp, Bela

Utilizing Mind-Maps for Information Retrieval and User Modelling Proceedings Article

In: Dimitrova, Vania; Kuflik, Tsvi; Chin, David; Ricci, Francesco; Dolog, Peter; Houben, Geert-Jan (Ed.): Proceedings of the 22nd Conference on User Modelling, Adaption, and Personalization (UMAP), pp. 301-313, Springer, 2014.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Nürnberger, Andreas

Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 390–394, Springer, Valletta, Malta, 2013.

BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel

Sponsored vs. Organic (Research Paper) Recommendations and the Impact of Labeling Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 395–399, Valletta, Malta, 2013.

BibTeX

Beel, Joeran; Langer, Stefan; Nuenberger, Andreas; Genzmehr, Marcel

The Impact of Demographics (Age and Gender) and Other User Characteristics on Evaluating Recommender Systems Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 400–404, Springer, Valletta, Malta, 2013.

BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Gipp, Bela; Nürnberger, Andreas

A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation Proceedings Article

In: Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys), pp. 7-14, 2013.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Nuernberger, Andreas

Introducing Docear's Research Paper Recommender System Proceedings Article

In: Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'13), pp. 459-460, ACM, 2013.

Links | BibTeX

Beel, Joeran

Evaluations in Information Retrieval: Click Through Rate (CTR) vs. Mean Absolute Error (MAE) vs. (Root) Mean Squared Error (MSE / RMSE) vs. Precision electronic

2012.

Links | BibTeX

Beel, Joeran

Research paper recommendations based on mind maps Book Section

In: Arndt, Hans-Knud; Krcmar, Helmut (Ed.): Very Large Business Applications (VLBA): System Landscapes of the Future, pp. 66–75, Shaker Verlag, 2011.

BibTeX

Beel, Joeran

SciPlore MindMapping now provides literature recommendations (Beta 15) Journal Article

In: http://www.sciplore.org/2011/sciplore-mindmapping-now-provides-literature-recommendations-beta-15/, 2011.

BibTeX

Gipp, Bela; Taylor, Adriana; Beel, Joeran

Link Proximity Analysis - Clustering Websites by Examining Link Proximity Proceedings Article

In: Lalmas, M.; Jose, J.; Rauber, A.; Sebastiani, F.; Frommholz, I. (Ed.): Proceedings of the 14th European Conference on Digital Libraries (ECDL'10): Research and Advanced Technology for Digital Libraries, pp. 449–452, Springer, 2010, (Available at: url http://sciplore.org/pub).

BibTeX

Beel, Joeran; Gipp, Bela

Detection of a similarity of documents by Citation Proximity Analysis Patent

2010, (WO/2010/078857).

Abstract | BibTeX

Gipp, Bela; Beel, Joeran

Integrating Citation Proximity Analysis into Google Books and Google Scholar Proceedings Article

In: Google Inc. Mountain View (USA), 2010, (Invited Talk.).

BibTeX

Beel, Joeran; Gipp, Bela.

Link analysis in mind maps: a new approach to determining document relatedness Proceedings Article

In: Lalmas, M; Jose, J; Rauber, A; Sebastiani, R; Frommholz, I (Ed.): Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication (ICUIMC '10), pp. 38:1–38:5, ACM Springer, Glasgow (UK), 2010, (Doctoral Consortium).

BibTeX

Beel, Joeran

Retrieving Data from Mind Maps to Enhance Search Applications Journal Article

In: Bulletin of IEEE Technical Committee on Digital Libraries, vol. 6, no. 2, 2010, (Available at http://docear.org).

BibTeX

Beel, Joeran; Gipp, Bela; Stiller, Jan-Olaf

Information Retrieval on Mind Maps - What could it be good for? Proceedings Article

In: Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'09), pp. 1–4, IEEE, Washington (USA), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Gipp, Bela; Beel, Joeran

Identifying Related Documents For Research Paper Recommender By CPA And COA Proceedings Article

In: Ao, S. I.; Douglas, C.; Grundfest, W. S.; Burgstone, J. (Ed.): Proceedings of The World Congress on Engineering and Computer Science 2009, pp. 636–639, International Association of Engineers (IAENG) Newswood Limited, Berkeley (USA), 2009, ISBN: 978-988-17012-6-8, (Available at: url http://sciplore.org/pub).

Abstract | Links | BibTeX

Gipp, Bela; Beel, Joeran

Citation Proximity Analysis (CPA) - A new approach for identifying related work based on Co-Citation Analysis Proceedings Article

In: Larsen, Birger; Leta, Jacqueline (Ed.): Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI'09), pp. 571–575, International Society for Scientometrics and Informetrics, Rio de Janeiro (Brazil), 2009, (ISSN 2175-1935. Available at: url http://sciplore.org/pub).

BibTeX

Gipp, Bela; Beel, Joeran; Hentschel, Christian

Scienstein: A Research Paper Recommender System Proceedings Article

In: Proceedings of the International Conference on Emerging Trends in Computing (ICETiC'09), pp. 309–315, Kamaraj College of Engineering and Technology India IEEE, Virudhunagar (India), 2009, (Available at: url http://sciplore.org/pub).

BibTeX

Literature Surveys

Beel, Joeran; Gipp, Bela; Langer, Stefan; Breitinger, Corinna

Research Paper Recommender Systems: A Literature Survey Journal Article

In: International Journal on Digital Libraries, no. 4, pp. 305–338, 2016, ISSN: 1432-5012.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Gipp, Bela; Nürnberger, Andreas

A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation Proceedings Article

In: Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys), pp. 7-14, 2013.

Links | BibTeX

RaaS (Recommendations-as-a-Service) & APIs

Wegmeth, Lukas; Beel, Joeran

CaMeLS: Cooperative Meta-Learning Service for Recommender Systems Proceedings Article

In: Proceedings of the 2nd Perspectives on the Evaluation of Recommender Systems Workshop, pp. 10–18, 2022.

Abstract | Links | BibTeX

Wegmeth, Lukas; Beel, Joeran

Cooperative Meta-Learning Service for Recommender Systems Journal Article

In: COSEAL Workshop 2022, 2022.

Links | BibTeX

Arambakam, Mukesh; Beel, Joeran

Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries Proceedings Article

In: 7th ICML Workshop on Automated Machine Learning, pp. 1–8, 2020.

Links | BibTeX

Beel, Joeran; Griffin, Alan; O'Shey, Conor

Darwin & Goliath: Recommendations-As-a-Service with Automated Algorithm-Selection and White-Labels Proceedings Article

In: Azzopardi, Leif; Stein, Benno; Fuhr, Norbert; Mayr, Philipp; Hauff, Claudia; Hiemstra, Djoerd (Ed.): 13th ACM Conference on Recommender Systems (RecSys), pp. 213–219, 2019.

Links | BibTeX

Beel, Joeran; Collins, Andrew; Aizawa, Akiko

The Architecture of Mr. DLib’s Scientific Recommender-System API Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 78–89, CEUR-WS, 2018.

Abstract | BibTeX

Beel, Joeran; Aizawa, Akiko; Breitinger, Corinna; Gipp, Bela

Mr. DLib: Recommendations-as-a-service (RaaS) for Academia Proceedings Article

In: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries, pp. 313–314, IEEE Press, Toronto, Ontario, Canada, 2017, ISBN: 978-1-5386-3861-3.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela; Nuernberger, Andreas

The Architecture and Datasets of Docear's Research Paper Recommender System Journal Article

In: D-Lib Magazine, vol. 20, no. 11/12, 2014.

Links | BibTeX

Real-World Recommender Systems

Vente, Tobias; Ekstrand, Michael; Beel, Joeran

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit Proceedings Article

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1212-1216, 2023.

Abstract | Links | BibTeX

Wegmeth, Lukas; Beel, Joeran

CaMeLS: Cooperative Meta-Learning Service for Recommender Systems Proceedings Article

In: Proceedings of the 2nd Perspectives on the Evaluation of Recommender Systems Workshop, pp. 10–18, 2022.

Abstract | Links | BibTeX

Gupta, Srijan; Beel, Joeran

Auto-CaseRec: Automatically Selecting and Optimizing Recommendation-Systems Algorithms Journal Article

In: OSF Preprints DOI:10.31219/osf.io/4znmd,, 2020.

Links | BibTeX

Anand, Rohan; Beel, Joeran

Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization Proceedings Article

In: 14th ACM Conference on Recommender Systems (RecSys), pp. 1–4, 2020.

Abstract | Links | BibTeX

Beel, Joeran; Griffin, Alan; O'Shey, Conor

Darwin & Goliath: Recommendations-As-a-Service with Automated Algorithm-Selection and White-Labels Proceedings Article

In: Azzopardi, Leif; Stein, Benno; Fuhr, Norbert; Mayr, Philipp; Hauff, Claudia; Hiemstra, Djoerd (Ed.): 13th ACM Conference on Recommender Systems (RecSys), pp. 213–219, 2019.

Links | BibTeX

Beel, Joeran; Smyth, Barry; Collins, Andrew

RARD II: The 94 Million Related-Article Recommendation Dataset Proceedings Article

In: Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 39–55, CEUR-WS, 2019.

BibTeX

Beel, Joeran; Collins, Andrew; Aizawa, Akiko

The Architecture of Mr. DLib’s Scientific Recommender-System API Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 78–89, CEUR-WS, 2018.

Abstract | BibTeX

Langer, Stefan; Beel, Joeran

Apache Lucene as Content-Based-Filtering Recommender System: 3 Lessons Learned Proceedings Article

In: 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), pp. 85-92, 2017.

BibTeX

Feyer, Stefan; Siebert, Sophie; Gipp, Bela; Aizawa, Akiko; Beel, Joeran

Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef Proceedings Article

In: Proceedings of the 39th European Conference on Information Retrieval (ECIR), pp. 770–774, 2017.

BibTeX

Beel, Joeran; Aizawa, Akiko; Breitinger, Corinna; Gipp, Bela

Mr. DLib: Recommendations-as-a-service (RaaS) for Academia Proceedings Article

In: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries, pp. 313–314, IEEE Press, Toronto, Ontario, Canada, 2017, ISBN: 978-1-5386-3861-3.

Links | BibTeX

Beel, Joeran; Dinesh, Siddharth

Real-World Recommender Systems for Academia: The Gain and Pain in Developing, Operating, and Researching them Proceedings Article

In: Mayr, Philipp; Frommholz, Ingo; Cabanac, Guillaume (Ed.): Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), pp. 6-17, 2017.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela; Nuernberger, Andreas

The Architecture and Datasets of Docear's Research Paper Recommender System Journal Article

In: D-Lib Magazine, vol. 20, no. 11/12, 2014.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Nuernberger, Andreas

Introducing Docear's Research Paper Recommender System Proceedings Article

In: Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'13), pp. 459-460, ACM, 2013.

Links | BibTeX

Beel, Joeran

SciPlore MindMapping now provides literature recommendations (Beta 15) Journal Article

In: http://www.sciplore.org/2011/sciplore-mindmapping-now-provides-literature-recommendations-beta-15/, 2011.

BibTeX

Recommender Systems for Digital Libraries

Molloy, Paul; Beel, Joeran; Aizawa, Akiko

Virtual Citation Proximity (VCP): Empowering Document Recommender Systems by Learning a Hypothetical In-Text Citation-Proximity Metric for Uncited Documents Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 1–8, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Beierle, Felix; Aizawa, Akiko; Collins, Andrew; Beel, Joeran

Choice overload and recommendation effectiveness in related-article recommendations Journal Article

In: International Journal of Digital Libraries (IJDL), pp. 1–16, 2019.

Links | BibTeX

Collins, Andrew; Beel, Joeran

Document Embeddings vs. Keyphrases vs. Terms: A Large-Scale Online Evaluation in Digital Library Recommender Systems Proceedings Article

In: Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019.

BibTeX

Beel, Joeran; Smyth, Barry; Collins, Andrew

RARD II: The 94 Million Related-Article Recommendation Dataset Proceedings Article

In: Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 39–55, CEUR-WS, 2019.

BibTeX

Beel, Joeran; Molley, Paul

Siamese Citation Proximity: A Siamese Neural Network Architecture for Learning Citation-Based Document Relatedness of Uncited Documents Proceedings Article

In: Under Review, 2019.

BibTeX

Collins, Andrew; Tkaczyk, Dominika; Aizawa, Akiko; Beel, Joeran

Position Bias in Recommender Systems for Digital Libraries Proceedings Article

In: Proceedings of the iConference, pp. 335-344, Springer, 2018.

Links | BibTeX

Beel, Joeran; Collins, Andrew; Aizawa, Akiko

The Architecture of Mr. DLib’s Scientific Recommender-System API Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 78–89, CEUR-WS, 2018.

Abstract | BibTeX

Beel, Joeran; Breitinger, Corinna; Langer, Stefan

Evaluating the CC-IDF citation-weighting scheme: How effectively can 'Inverse Document Frequency' (IDF) be applied to references? Proceedings Article

In: Proceedings of the 12th iConference, 2017.

Abstract | BibTeX

Beierle, Felix; Aizawa, Akiko; Beel, Joeran

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries Proceedings Article

In: 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), pp. 51–61, 2017.

BibTeX

Beel, Joeran; Gipp, Bela; Langer, Stefan; Breitinger, Corinna

Research Paper Recommender Systems: A Literature Survey Journal Article

In: International Journal on Digital Libraries, no. 4, pp. 305–338, 2016, ISSN: 1432-5012.

Links | BibTeX

Beel, Joeran; Langer, Stefan

A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems Proceedings Article

In: Kapidakis, Sarantos; Mazurek, Cezary; Werla, Marcin (Ed.): Proceedings of the 19th International Conference on Theory and Practice of Digital Libraries (TPDL), pp. 153-168, 2015.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela; Nuernberger, Andreas

The Architecture and Datasets of Docear's Research Paper Recommender System Journal Article

In: D-Lib Magazine, vol. 20, no. 11/12, 2014.

Links | BibTeX

Novel Aspects Beyond Accuracy

Persistence

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Nürnberger, Andreas

Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 390–394, Springer, Valletta, Malta, 2013.

BibTeX

Choice Overload

Beierle, Felix; Aizawa, Akiko; Collins, Andrew; Beel, Joeran

Choice overload and recommendation effectiveness in related-article recommendations Journal Article

In: International Journal of Digital Libraries (IJDL), pp. 1–16, 2019.

Links | BibTeX

Beierle, Felix; Aizawa, Akiko; Beel, Joeran

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries Proceedings Article

In: 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), pp. 51–61, 2017.

BibTeX

Position Bias

Collins, Andrew; Tkaczyk, Dominika; Aizawa, Akiko; Beel, Joeran

Position Bias in Recommender Systems for Digital Libraries Proceedings Article

In: Proceedings of the iConference, pp. 335-344, Springer, 2018.

Links | BibTeX

Labeling

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel

Sponsored vs. Organic (Research Paper) Recommendations and the Impact of Labeling Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 395–399, Valletta, Malta, 2013.

BibTeX

Graphical User Interfaces

Beel, Joeran; Dixon, Haley

The ‘Unreasonable’ Effectiveness of Graphical User Interfaces for Recommender Systems Proceedings Article

In: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, pp. 22–28, Association for Computing Machinery, New York, NY, USA, 2021, ISBN: 9781450383677.

Abstract | Links | BibTeX

Demographics

Langer, Stefan; Beel, Joeran

The Comparability of Recommender System Evaluations and Characteristics of Docear's Users Proceedings Article

In: Proceedings of the Workshop on Recommender Systems Evaluation: Dimensions and Design (REDD) at the 2014 ACM Conference Series on Recommender Systems (RecSys), pp. 1–6, CEUR-WS, 2014.

BibTeX

Beel, Joeran; Langer, Stefan; Nuenberger, Andreas; Genzmehr, Marcel

The Impact of Demographics (Age and Gender) and Other User Characteristics on Evaluating Recommender Systems Proceedings Article

In: Aalberg, Trond; Dobreva, Milena; Papatheodorou, Christos; Tsakonas, Giannis; Farrugia, Charles (Ed.): Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), pp. 400–404, Springer, Valletta, Malta, 2013.

BibTeX

Machine Learning

AutoML (Automated Machine Learning), Meta-Learning & Algorithm Selection

Vente, Tobias; Beel, Joeran

The Potential of AutoML for Recommender Systems Journal Article

In: arXiv, pp. 18, 2024.

Abstract | Links | BibTeX

Purucker, Lennart; Beel, Joeran

A first Look at Meta-Learning Algorithm Selection for Post Hoc Ensembling in AutoML Proceedings Article

In: Poster Track of the COSEAL Workshop, 2023.

BibTeX

Purucker, Lennart; Beel, Joeran

CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure Proceedings Article

In: 2nd International Conference on Automated Machine Learning (AutoML), pp. 1–23, 2023.

Links | BibTeX

Purucker, Lennart; Schneider, Lennart; Anastacio, Marie; Beel, Joeran; Bischl, Bernd; Holger, Hoos

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Proceedings Article

In: 2nd International Conference on Automated Machine Learning (AutoML), pp. 1–34, 2023.

Links | BibTeX

Purucker, Lennart Oswald; Beel, Joeran

Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Proceedings Article

In: International Conference on Automated Machine Learning, Late-Breaking Results Track, pp. 1–18, 2022.

Abstract | Links | BibTeX

Buskulic, Nathan; Bergman, Edward; Beel, Joeran

Online Neural Architecture Search (ONAS): Adapting neural network architecture search in a continuously evolving domain. [Proposal] Journal Article

In: https://osf.io/suqxr, pp. 1-4, 2021.

Abstract | Links | BibTeX

Tyrrell, Bryan; Bergman, Edward; Jones, Gareth; Beel, Joeran

‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection Proceedings Article

In: 7th ICML Workshop on Automated Machine Learning, pp. 1–16, 2020.

Links | BibTeX

Arambakam, Mukesh; Beel, Joeran

Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries Proceedings Article

In: 7th ICML Workshop on Automated Machine Learning, pp. 1–8, 2020.

Links | BibTeX

Beel, Joeran; Tyrell, Bryan; Bergman, Edward; Collins, Andrew; Nagoor, Shahad

Siamese Meta-Learning and Algorithm Selection with ‘Algorithm-Performance Personas’ [Proposal] Journal Article

In: arXiv:2006.12328 [cs.LG], pp. 600–603, 2020.

Abstract | Links | BibTeX

Edenhofer, Gordian; Collins, Andrew; Aizawa, Akiko; Beel, Joeran

Augmenting the DonorsChoose.org Corpus for Meta-Learning Proceedings Article

In: Proceedings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 32–38, CEUR-WS, 2019.

BibTeX

Beel, Joeran

Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries (Proposal) Journal Article

In: ResearchGate, 2019.

Links | BibTeX

Beel, Joeran; Kotthoff, Lars

Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) Proceedings Article

In: Proceddings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 1–9, CEUR-WS, 2019.

BibTeX

Beel, Joeran; Kotthoff, Lars

Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) Proceedings Article

In: Azzopardi, L.; Stein, B.; Fuhr, N.; Mayr, P.; Hauff, C.; Hiemstra, D. (Ed.): Proceedings of the 41st European Conference on Information Retrieval (ECIR), pp. 383–388, Springer, 2019.

Abstract | Links | BibTeX

Machine Learning Algorithms

Grennan, Mark; Beel, Joeran

Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and CORA Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 27–35, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Marwah, Divyanshu; Beel, Joeran

Term-Recency for TF-IDF, BM25 and USE Term Weighting Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 36–41, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Molloy, Paul; Beel, Joeran; Aizawa, Akiko

Virtual Citation Proximity (VCP): Empowering Document Recommender Systems by Learning a Hypothetical In-Text Citation-Proximity Metric for Uncited Documents Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 1–8, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Carroll, Oisín; Beel, Joeran

Finite Group Equivariant Neural Networks for Games Journal Article

In: arXiv, no. 2009.05027, pp. 1–8, 2020.

Links | BibTeX

Hassan, Hebatallah A. Mohamed; Sansonetti, Giuseppe; Gasparetti, Fabio; Micarelli, Alessandro; Beel, Joeran

BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation? Proceedings Article

In: 13th ACM Conference on Recommender Systems (RecSys), pp. 6–10, CEUR-WS, 2019.

BibTeX

Tunstead, Keith; Beel, Joeran

Combating Stagnation in Reinforcement Learning Through 'Guided Learning' With 'Taught-Response Memory' Proceedings Article

In: 3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) at the ECML PKDD Conference, 2019.

BibTeX

Collins, Andrew; Beel, Joeran

Document Embeddings vs. Keyphrases vs. Terms: A Large-Scale Online Evaluation in Digital Library Recommender Systems Proceedings Article

In: Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019.

BibTeX

Collier, Mark; Beel, Joeran

Memory-Augmented Neural Networks for Machine Translation Proceedings Article

In: Proceedings of the Machine Translation (MT) Summit, 2019.

BibTeX

Bonello, Nicholas; Debattista, Jeremy; Beel, Joeran; Lawless, Seamus

Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

BibTeX

O'Sullivan, Conor; Beel, Joeran

Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

BibTeX

Beel, Joeran; Molley, Paul

Siamese Citation Proximity: A Siamese Neural Network Architecture for Learning Citation-Based Document Relatedness of Uncited Documents Proceedings Article

In: Under Review, 2019.

BibTeX

Collier, Mark; Beel, Joeran

An Empirical Comparison of Syllabuses for Curriculum Learning Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 150–161, CEUR-WS, 2018.

BibTeX

Collier, Mark; Beel, Joeran

Implementing Neural Turing Machines Proceedings Article

In: Kůrková, Věra; Manolopoulos, Yannis; Hammer, Barbara; Iliadis, Lazaros; Maglogiannis, Ilias (Ed.): 27th International Conference on Artificial Neural Networks (ICANN), pp. 94–104, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-01424-7.

Abstract | Links | BibTeX

Tkaczyk, Dominika; Collins, Andrew; Sheridan, Paraic; Beel, Joeran

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers Proceedings Article

In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, pp. 99–108, ACM, Fort Worth, Texas, USA, 2018, ISBN: 978-1-4503-5178-2.

Links | BibTeX

Brennan, Rob; Beel, Joeran; Byrne, Ruth; Debattista, Jeremy

Preface: The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018) Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 1–7, CEUR-WS, 2018.

BibTeX

Beel, Joeran; Dinesh, Siddharth; Mayr, Philipp; Carevic, Zeljko; Raghvendra, Jain

Stereotype and Most-Popular Recommendations in the Digital Library Sowiport Proceedings Article

In: Proceedings of the 15th International Symposium of Information Science (ISI), pp. 96–108, 2017.

BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela

TF-IDuF: A Novel Term-Weighting Scheme for User Modeling based on Users' Personal Document Collections Proceedings Article

In: Proceedings of the 12th iConference, 2017.

Abstract | Links | BibTeX

Beel, Joeran; Langer, Stefan; Kapitsaki, Georgia M.; Breitinger, Corinna; Gipp, Bela

Exploring the Potential of User Modeling based on Mind Maps Proceedings Article

In: Ricci, Francesco; Bontcheva, Kalina; Conlan, Owen; Lawless, Séamus (Ed.): Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization (UMAP), pp. 3-17, Springer, 2015.

Links | BibTeX

Beel, Joeran

Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps Journal Article

In: PhD Thesis. Otto-von-Guericke Universität Magdeburg, 2015.

BibTeX

Beel, Joeran

Research paper recommendations based on mind maps Book Section

In: Arndt, Hans-Knud; Krcmar, Helmut (Ed.): Very Large Business Applications (VLBA): System Landscapes of the Future, pp. 66–75, Shaker Verlag, 2011.

BibTeX

Beel, Joeran; Gipp, Bela

Detection of a similarity of documents by Citation Proximity Analysis Patent

2010, (WO/2010/078857).

Abstract | BibTeX

Beel, Joeran; Gipp, Bela.

Link analysis in mind maps: a new approach to determining document relatedness Proceedings Article

In: Lalmas, M; Jose, J; Rauber, A; Sebastiani, R; Frommholz, I (Ed.): Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication (ICUIMC '10), pp. 38:1–38:5, ACM Springer, Glasgow (UK), 2010, (Doctoral Consortium).

BibTeX

Gipp, Bela; Beel, Joeran

Identifying Related Documents For Research Paper Recommender By CPA And COA Proceedings Article

In: Ao, S. I.; Douglas, C.; Grundfest, W. S.; Burgstone, J. (Ed.): Proceedings of The World Congress on Engineering and Computer Science 2009, pp. 636–639, International Association of Engineers (IAENG) Newswood Limited, Berkeley (USA), 2009, ISBN: 978-988-17012-6-8, (Available at: url http://sciplore.org/pub).

Abstract | Links | BibTeX

Gipp, Bela; Beel, Joeran

Citation Proximity Analysis (CPA) - A new approach for identifying related work based on Co-Citation Analysis Proceedings Article

In: Larsen, Birger; Leta, Jacqueline (Ed.): Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI'09), pp. 571–575, International Society for Scientometrics and Informetrics, Rio de Janeiro (Brazil), 2009, (ISSN 2175-1935. Available at: url http://sciplore.org/pub).

BibTeX

Applications of Machine Learning

Grennan, Mark; Beel, Joeran

Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and CORA Proceedings Article

In: Proceedings of the 8th International Workshop on Mining Scientific Publications, pp. 27–35, Association for Computational Linguistics, Wuhan, China, 2020.

Abstract | Links | BibTeX

Carroll, Oisín; Beel, Joeran

Finite Group Equivariant Neural Networks for Games Journal Article

In: arXiv, no. 2009.05027, pp. 1–8, 2020.

Links | BibTeX

Tunstead, Keith; Beel, Joeran

Combating Stagnation in Reinforcement Learning Through 'Guided Learning' With 'Taught-Response Memory' Proceedings Article

In: 3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) at the ECML PKDD Conference, 2019.

BibTeX

Collier, Mark; Beel, Joeran

Memory-Augmented Neural Networks for Machine Translation Proceedings Article

In: Proceedings of the Machine Translation (MT) Summit, 2019.

BibTeX

Bonello, Nicholas; Debattista, Jeremy; Beel, Joeran; Lawless, Seamus

Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

BibTeX

O'Sullivan, Conor; Beel, Joeran

Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

BibTeX

Beel, Joeran; Molley, Paul

Siamese Citation Proximity: A Siamese Neural Network Architecture for Learning Citation-Based Document Relatedness of Uncited Documents Proceedings Article

In: Under Review, 2019.

BibTeX

Collier, Mark; Beel, Joeran

An Empirical Comparison of Syllabuses for Curriculum Learning Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 150–161, CEUR-WS, 2018.

BibTeX

Collier, Mark; Beel, Joeran

Implementing Neural Turing Machines Proceedings Article

In: Kůrková, Věra; Manolopoulos, Yannis; Hammer, Barbara; Iliadis, Lazaros; Maglogiannis, Ilias (Ed.): 27th International Conference on Artificial Neural Networks (ICANN), pp. 94–104, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-01424-7.

Abstract | Links | BibTeX

Tkaczyk, Dominika; Collins, Andrew; Sheridan, Paraic; Beel, Joeran

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers Proceedings Article

In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, pp. 99–108, ACM, Fort Worth, Texas, USA, 2018, ISBN: 978-1-4503-5178-2.

Links | BibTeX

Brennan, Rob; Beel, Joeran; Byrne, Ruth; Debattista, Jeremy

Preface: The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018) Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 1–7, CEUR-WS, 2018.

BibTeX

Machine Translation

Collier, Mark; Beel, Joeran

Memory-Augmented Neural Networks for Machine Translation Proceedings Article

In: Proceedings of the Machine Translation (MT) Summit, 2019.

BibTeX

Datasets for Recommender Systems, Machine Learning and Information Extraction

CITREC Citations

The CITREC dataset contains the data of two formerly separate collections for citation analysis and it provides the tools necessary for performing evaluations of similarity measures. The first collection is the PubMed Central Open Access Subset (PMC OAS), the second is the collection used for the Genomics Tracks at the Text REtrieval Conferences (TREC)’06 and ’07 (overview paper for the TREC Gen collection). CITREC extends the PMC OAS and TREC Genomics collections by providing:

  1. citation and reference information that includes the position of in-text citations for documents in both collections;
  2. code and pre-computed scores for 35 citation-based and text-based similarity measures;
  3. two gold standards based on Medical Subject Headings (MeSH) descriptors and the relevance feedback gathered for the TREC Genomics collection;
  4. a web-based system (Literature Recommendation Evaluator – LRE) that allows evaluating similarity measures on their ability to identify documents that are relevant to user-defined information needs;
  5. tools to statistically analyze and compare the scores that individual similarity measures yield.

RARD — Related Articles

RARD — the Related-Article Recommendation Dataset — is based on the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains information about 57.4 million recommendations that were displayed to the users of Sowiport. Information includes details on which recommendation approaches were used (e.g. content-based filtering, stereotype, most popular), what types of features were used in content-based filtering (simple terms vs. keyphrases), where the features were extracted from (title or abstract), and the time when recommendations were delivered and clicked. In addition, the dataset contains an implicit item-item rating matrix that was created based on the recommendation click logs. RARD enables researchers to train machine learning algorithms for research-paper recommendations, perform offline evaluations, and do research on data from Mr. DLib’s recommender system, without implementing a recommender system themselves. In the field of scientific recommender systems, our dataset is unique. To the best of our knowledge, there is no dataset with more (implicit) ratings available, and that many variations of recommendation algorithms. The dataset is published under the “Creative Commons Attribution 3.0 Unported (CC-BY)” license.

Docear RecSys

We released a dataset based on the recommender system in our reference management software Docear. The dataset contains the following sub-datasets.

Research Papers — The research papers dataset contains information about the research papers that Docear’s PDF Spider crawled and their citations. This includes information about 9.4 million documents, including 7.95 million citations and 1.8 million URLs to freely available academic PDFs on the Web. The dataset also provides citation positions, i.e. where in a document a citation occurs. This leads to 19.3 million entries in the dataset.

Mind-Maps / User libraries — The mind maps dataset contains information on 390,613 revisions of 52,202 mind-maps created by 12,038 users. The mind-maps themselves are not included in the dataset due to privacy reasons. Information includes the number of nodes, the documents that are linked, the id of the user who created the mind-map, and when mind-maps were created

Users — The user dataset contains information about 8,059 of 21,439 registered users, namely about those who activated recommendations and agreed to have their data analyzed and published. Among others, the dataset includes information about the users’ date of registration, gender and age (if provided during registration), usage intensity of Docear, when Docear was last started, when recommendations were last received, the number of created mind-maps, number of papers, how recommendations were labeled, the number of received recommendations, and click-through rates (CTR) on recommendations.

Recommendations — The recommendation dataset contains information on 308,146 recommendations that were delivered to 3,470 users between March 2013 and March 2014. This includes the date of creation and delivery, the time required to generate recommendations and corresponding user models, and information on the algorithm that generated the recommendations. Information on the algorithms is manyfold. We stored whether stop words were removed, which weighting scheme was applied, whether terms and/or citations were used for the user modelling process and 28 other variables that are described in more detail in the dataset’s readme file.

We are interested in many research areas and are always open to exploring new exciting areas including deep learning, precision medicine, bias in AI, explainability, and many more. Feel also free to visit our colleagues’ web pages relating to machine learning at the University of Siegen.

Donorschoose.org

RARD

RARD — the Related-Article Recommendation Dataset — is based on the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains information about 57.4 million recommendations that were displayed to the users of Sowiport. Information includes details on which recommendation approaches were used (e.g. content-based filtering, stereotype, most popular), what types of features were used in content-based filtering (simple terms vs. keyphrases), where the features were extracted from (title or abstract), and the time when recommendations were delivered and clicked. In addition, the dataset contains an implicit item-item rating matrix that was created based on the recommendation click logs. RARD enables researchers to train machine learning algorithms for research-paper recommendations, perform offline evaluations, and do research on data from Mr. DLib’s recommender system, without implementing a recommender system themselves. In the field of scientific recommender systems, our dataset is unique. To the best of our knowledge, there is no dataset with more (implicit) ratings available, and that many variations of recommendation algorithms. The dataset is published under the “Creative Commons Attribution 3.0 Unported (CC-BY)” license.

Docear RecSys

We released a dataset based on the recommender system in our reference management software Docear. The dataset contains the following sub-datasets.

Research Papers — The research papers dataset contains information about the research papers that Docear’s PDF Spider crawled and their citations. This includes information about 9.4 million documents, including 7.95 million citations and 1.8 million URLs to freely available academic PDFs on the Web. The dataset also provides citation positions, i.e. where in a document a citation occurs. This leads to 19.3 million entries in the dataset.

Mind-Maps / User libraries — The mind maps dataset contains information on 390,613 revisions of 52,202 mind-maps created by 12,038 users. The mind-maps themselves are not included in the dataset due to privacy reasons. Information includes the number of nodes, the documents that are linked, the id of the user who created the mind-map, and when mind-maps were created

Users — The user dataset contains information about 8,059 of 21,439 registered users, namely about those who activated recommendations and agreed to have their data analyzed and published. Among others, the dataset includes information about the users’ date of registration, gender and age (if provided during registration), usage intensity of Docear, when Docear was last started, when recommendations were last received, the number of created mind-maps, number of papers, how recommendations were labeled, the number of received recommendations, and click-through rates (CTR) on recommendations.

Recommendations — The recommendation dataset contains information on 308,146 recommendations that were delivered to 3,470 users between March 2013 and March 2014. This includes the date of creation and delivery, the time required to generate recommendations and corresponding user models, and information on the algorithm that generated the recommendations. Information on the algorithms is manyfold. We stored whether stop words were removed, which weighting scheme was applied, whether terms and/or citations were used for the user modelling process and 28 other variables that are described in more detail in the dataset’s readme file.

Other Domains

(Academic) Search & Search Engine Optimization (ASEO)

Beel, Joeran; Gipp, Bela

Academic search engine spam and Google Scholar's resilience against it Journal Article

In: Journal of Electronic Publishing, vol. 13, no. 3, 2010.

Links | BibTeX

Beel, Joeran; Gipp, Bela

Enhancing search applications by utilizing mind maps Proceedings Article

In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT'10), pp. 303–304, ACM, Toronto (CA), 2010, (Available at http://docear.org).

BibTeX

Beel, Joeran; Gipp, Bela

On the Robustness of Google Scholar Against Spam Proceedings Article

In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT'10), pp. 297–298, ACM, Toronto (CA), 2010.

Links | BibTeX

Beel, Joeran; Gipp, Bela; Wilde, Erik

Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar and Co. Journal Article

In: Journal of Scholarly Publishing, vol. 41, no. 2, pp. 176–190, 2010, (University of Toronto Press. Available at http://docear.org).

Links | BibTeX

Beel, Joeran

Retrieving Data from Mind Maps to Enhance Search Applications Journal Article

In: Bulletin of IEEE Technical Committee on Digital Libraries, vol. 6, no. 2, 2010, (Available at http://docear.org).

BibTeX

Beel, Joeran; Gipp, Bela; Stiller, Jan-Olaf

Information Retrieval on Mind Maps - What could it be good for? Proceedings Article

In: Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'09), pp. 1–4, IEEE, Washington (USA), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela; Stiller, Jan-Olaf

Could Mind Maps Be Used To Improve Academic Search Engines? Proceedings Article

In: Ao, S. I.; Douglas, C.; Grundfest, W. S.; Burgstone, J. (Ed.): International Conference on Machine Learning and Data Analysis (ICMLDA'09), pp. 832–834, International Association of Engineers (IAENG) Newswood Limited, Berkeley (USA), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Beel, Joeran

Information Retrieval in Mind Maps zum Verbessern von Suchapplikationen Proceedings Article

In: Arndt, H. -K.; Krcmar, H. (Ed.): Very Large Business Applications (VLBA): Systemlandschaften der Zukunft, pp. 139–152, Shaker Verlag, Magdeburg, 2009.

BibTeX

Beel, Joeran; Gipp, Bela

Google Scholar's Ranking Algorithm: An Introductory Overview Proceedings Article

In: Larsen, Birger; Leta, Jacqueline (Ed.): Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI'09), pp. 230–241, International Society for Scientometrics and Informetrics, Rio de Janeiro (Brazil), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela

Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study) Proceedings Article

In: Latifi, Shahram (Ed.): Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG'09), pp. 160–164, IEEE, Las Vegas (USA), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela

Google Scholar's Ranking Algorithm: The Impact of Citation Counts (An Empirical Study) Proceedings Article

In: Proceedings of the 3rd IEEE International Conference on Research Challenges in Information Science (RCIS'09), pp. 439–446, IEEE, Fez (Morocco), 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Reference Management

Beel, Joeran; Smyth, Barry; Collins, Andrew

RARD II: The 94 Million Related-Article Recommendation Dataset Proceedings Article

In: Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), pp. 39–55, CEUR-WS, 2019.

BibTeX

Feyer, Stefan; Siebert, Sophie; Gipp, Bela; Aizawa, Akiko; Beel, Joeran

Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef Proceedings Article

In: Proceedings of the 39th European Conference on Information Retrieval (ECIR), pp. 770–774, 2017.

BibTeX

Beel, Joeran; Langer, Stefan; Gipp, Bela; Nuernberger, Andreas

The Architecture and Datasets of Docear's Research Paper Recommender System Journal Article

In: D-Lib Magazine, vol. 20, no. 11/12, 2014.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Nuernberger, Andreas

Introducing Docear's Research Paper Recommender System Proceedings Article

In: Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'13), pp. 459-460, ACM, 2013.

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Beel, Joeran

On the popularity of reference managers, and their rise and fall Journal Article

In: Docear Blog. https://www.docear.org/2013/11/11/on-the-popularity-of-reference-managers-and-their-rise-and-fall/, 2013.

BibTeX

Beel, Joeran

SciPlore MindMapping now provides literature recommendations (Beta 15) Journal Article

In: http://www.sciplore.org/2011/sciplore-mindmapping-now-provides-literature-recommendations-beta-15/, 2011.

BibTeX

Beel, Joeran; Gipp, Bela; Langer, Stefan; Genzmehr, Marcel; Wilde, Erik; Nuernberger, Andreas; Pitman, Jim

Introducing Mr. DLib, a Machine-readable Digital Library Proceedings Article

In: Proceedings of the 11th ACM/IEEE Joint Conference on Digital Libraries (JCDL`11), pp. 463–464, ACM, 2011, (Available at http://docear.org).

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Beel, Joeran; Gipp, Bela; Mueller, Christoph

ŚciPlore MinṂapping' - A Tool for Creating Mind Maps Combined with PDF and Reference Management Journal Article

In: D-Lib Magazine, vol. 15, no. 11, 2009, (Available at http://docear.org).

Abstract | Links | BibTeX

Event Detection

Weiler, Andreas; Beel, Joeran; Gipp, Bela; Grossniklaus, Michael

Stability Evaluation of Event Detection Techniques for Twitter Book Chapter

In: Boström, Henrik; Knobbe, Arno; Soares, Carlos; Papapetrou, Panagiotis (Ed.): Advances in Intelligent Data Analysis XV, pp. 368–380, Springer, 2016, ISBN: 978-3-319-46348-3.

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Scholarly Communication & Reviewing

Beel, Joeran; Breuer, Timo; Crescenzi, Anita; Fuhr, Norbert; Li, Meije

Results-blind Reviewing Proceedings Article

In: Bauer, Christine; Carterette, Ben; Ferro, Nicola; Fuhr, Norbert; Faggioli, Guglielmos (Ed.): Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031), pp. 68-154, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.

Links | BibTeX

Gipp, Bela; Meuschke, Norman; Beel, Joeran; Breitinger, Corinna

Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage Journal Article

In: Bulletin of IEEE Technical Committee on Digital Libraries (TCDL). To appear in early 2017., pp. 12–14, 2017.

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela; Wilde, Erik

Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar and Co. Journal Article

In: Journal of Scholarly Publishing, vol. 41, no. 2, pp. 176–190, 2010, (University of Toronto Press. Available at http://docear.org).

Links | BibTeX

Beel, Joeran; Gipp, Bela

The Potential of Collaborative Document Evaluation for Science Proceedings Article

In: Buchanan, George; Masoodian, Masood; Cunningham, Sally Jo (Ed.): 11th International Conference on Asia-Pacific Digital Libraries (ICADL'08) Proceedings, pp. 375–378, Springer, Heidelberg (Germany), 2008, ISBN: 978-3-540-89532-9.

Abstract | Links | BibTeX

Beel, Joeran; Gipp, Bela

Collaborative Document Evaluation: An Alternative Approach to Classic Peer Review Conference

Proceedings of the 5th International Conference on Digital Libraries (ICDL'08), vol. 31, Vienna (Austria), 2008, (Available at http://docear.org).

Abstract | Links | BibTeX

Document Engineering, Information Extraction & Citation Parsing

Scharpf, Philipp; Mackerracher, Ian; Schubotz, Moritz; Beel, Joeran; Breitinger, Corinna; Gipp, Bela

AnnoMathTeX - a Formula Annotation Recommender System for STEM Documents Proceedings Article

In: 13th ACM Conference on Recommender Systems (RecSys), 2019.

BibTeX

Grennan, Mark; Schibel, Martin; Collins, Andrew; Beel, Joeran

GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, pp. 101–112, 2019.

BibTeX

Tkaczyk, Dominika; Collins, Andrew; Beel, Joeran

NaïveRole: Author-Contribution Extraction from Biomedical Publications Proceedings Article

In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

BibTeX

Tkaczyk, Dominika; Collins, Andrew; Sheridan, Paraic; Beel, Joeran

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers Proceedings Article

In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, pp. 99–108, ACM, Fort Worth, Texas, USA, 2018, ISBN: 978-1-4503-5178-2.

Links | BibTeX

Tkaczyk, Dominika; Sheridan, Paraic; Beel, Joeran

ParsRec: A Meta-Learning Recommender System for Bibliographic Reference Parsing Tools Proceedings Article

In: Proceedings of the 12th ACM Conference on Recommender Systems (RecSys), pp. 387–388, ACM, Fort Worth, Texas, USA, 2018.

Links | BibTeX

Tkaczyk, Dominika; Gupta, Rohit; Cinti, Riccardo; Beel, Joeran

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers Proceedings Article

In: Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 162–173, CEUR-WS, 2018.

BibTeX

Beel, Joeran; Breitinger, Corinna; Langer, Stefan

Evaluating the CC-IDF citation-weighting scheme: How effectively can 'Inverse Document Frequency' (IDF) be applied to references? Proceedings Article

In: Proceedings of the 12th iConference, 2017.

Abstract | BibTeX

Beel, Joeran; Langer, Stefan; Kapitsaki, Georgia M.; Breitinger, Corinna; Gipp, Bela

Exploring the Potential of User Modeling based on Mind Maps Proceedings Article

In: Ricci, Francesco; Bontcheva, Kalina; Conlan, Owen; Lawless, Séamus (Ed.): Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization (UMAP), pp. 3-17, Springer, 2015.

Links | BibTeX

Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Gipp, Bela

Utilizing Mind-Maps for Information Retrieval and User Modelling Proceedings Article

In: Dimitrova, Vania; Kuflik, Tsvi; Chin, David; Ricci, Francesco; Dolog, Peter; Houben, Geert-Jan (Ed.): Proceedings of the 22nd Conference on User Modelling, Adaption, and Personalization (UMAP), pp. 301-313, Springer, 2014.

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Beel, Joeran; Langer, Stefan; Genzmehr, Marcel; Müller, Christoph

Docears PDF Inspector: Title Extraction from PDF files Proceedings Article

In: Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'13), pp. 443-444, ACM, 2013.

Links | BibTeX

Lipinski, Mario; Yao, Kevin; Breitinger, Corinna; Beel, Joeran; Gipp, Bela

Evaluation of Header Metadata Extraction Approaches and Tools for Scientific PDF Documents Proceedings Article

In: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (JCDL'13), pp. 385-386, 2013.

BibTeX

Beel, Joeran; Langer, Stefan

An Exploratory Analysis of Mind Maps Proceedings Article

In: Proceedings of the 11th ACM Symposium on Document Engineering (DocEng'11), pp. 81-84, ACM, 2011, (Available at http://docear.org).

Links | BibTeX

Beel, Joeran; Gipp, Bela; Shaker, Ammar; Friedrich, Nick

SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size) Proceedings Article

In: Lalmas, M.; Jose, J.; Rauber, A.; Sebastiani, F.; Frommholz, I. (Ed.): Research and Advanced Technology for Digital Libraries, Proceedings of the 14th European Conference on Digital Libraries (ECDL'10), pp. 413–416, Springer, Glasgow (UK), 2010.

BibTeX

Plagiarism Detection

Gipp, Bela; Meuschke, Norman; Beel, Joeran

Comparative Evaluation of Text- and Citation-based Plagiarism Detection Approaches using GuttenPlag Proceedings Article

In: Proceedings of 11th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'11), pp. 255–258, ACM, Ottawa, Canada, 2011, (Available at: url http://sciplore.org/pub).

Abstract | Links | BibTeX

Gipp, Bela; Beel, Joeran

Citation Based Plagiarism Detection - a New Approach to Identify Plagiarized Work Language Independently Proceedings Article

In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, pp. 273–274, ACM, Toronto, Ontario, Canada, 2010, (Available at: url http://sciplore.org/pub).

Links | BibTeX

Blockchain

Gipp, Bela; Meuschke, Norman; Beel, Joeran; Breitinger, Corinna

Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage Journal Article

In: Bulletin of IEEE Technical Committee on Digital Libraries (TCDL). To appear in early 2017., pp. 12–14, 2017.

Abstract | Links | BibTeX

Electronic Passport

Gipp, Bela; Beel, Joeran; Roessling, Ivo

ePassport: The World's New Electronic Passport Book

Createspace, Scotts Valley (USA), 2007, (ISBN 978-1434823182. Also available on http://www.epassport-book.com).

Links | BibTeX

Beel, Joeran; Gipp, Bela

ePass - der neue biometrische Reisepass Book

Shaker Verlag, Aachen (Germany), 2005, (ISBN 9783-8322-4693-8. Also available on http://www.epass-buch.de).

Links | BibTeX

Location Based Services

Alcala, Felix; Beel, Joeran; Frenkel, Arne; Gipp, Bela; Luelf, Johannes; Hoepfner, Hagen

UbiLoc: A System for Locating Mobile Devices using Mobile Devices Proceedings Article

In: Kyamakya, K. (Ed.): Proceedings of 1st Workshop on Positioning, Navigation and Communication 2004 (WPNC 04), pp. 43–48, University of Hanover, 2004, (Also available on http://beel.org).

Links | BibTeX

Alcala, Felix; Beel, Joeran; Frenkel, Arne; Gipp, Bela; Luelf, Johannes; Hoepfner, Hagen

Ortung von mobilen Geraeten fuer die Realisierung lokationsbasierter Dienste Proceedings Article

In: Tuerker, Can (Ed.): Mobilitaet und Informationssysteme - Workshop des GI-Arbeitskreises "Mobile Datenbanken und Informationssysteme", ETH Zuerich, Zuerich, 2003.

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Gipp, Bela; Beel, Joeran

Der GSM-Schutzengel – Lebensretter für Autofahrer Journal Article

In: Jugend forscht, 2002.

Abstract | Links | BibTeX

Beel, Joeran; Petersen, Lars; Gipp, Bela

Der GSM-Schutzengel - Automatisches Notrufsystem zur Lokalisation von Unfallopfern mittels GSM-Technik Journal Article

In: Jugend forscht, 2001.

Abstract | Links | BibTeX

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