Joeran Beel


Prof. Dr.-Ing. Joeran Beel
Professor of Intelligent Systems

Students, please read here before contacting me

Phone: +49 271 740-3593 (not for student inquiries)
Email: joeran.<last-name>@uni-siegen.de
Office: H-C 8315
Address: Office and postal address

Bio

Joeran Beel is head of the Intelligent Systems Group at the University of Siegen; Alumni Visiting Research Fellow at Trinity College Dublin, Ireland, where he previously was an Assistant Professor; and Alumni Visiting Professor at the National Institute of Informatics (NII) in Tokyo, where he previously was a postdoctoral researcher.

Joeran Beel’s research focuses on automated machine learning & meta-learning, information retrieval, and recommender systems. He published more than 90 peer-reviewed publications and acts as a reviewer for venues such as SIGIR, ECIR, RecSys, UMAP, ACM TiiS, and JASIST. Joeran Beel acquired more than 2.5 million Euros in funding for his research and business start-ups.

News

Short CV

Since 2020
Professor of Intelligent Systems at the University of Siegen, Germany

2020-2022
Visiting Research Fellow at Trinity College Dublin, Ireland

2018-2022
Visiting Professor at the National Institute of Informatics (NII) Tokyo, Japan

2016-2020
Assistant Professor in Intelligent Systems at Trinity College Dublin, Ireland, and the ADAPT Centre

2016 (8 Months)
Postdoctoral Researcher at the National Institute of Informatics (NII) Tokyo, Japan, in the group of Prof. Akiko Aizawa.

2015-2016
Product Manager for APIs & Content at HRS Holidays, Munich

2009-2015
PhD (Dr.-Ing) in Computer Science at the University of Magdeburg, Germany, in the group of Prof. Dr. Andreas Nürnberger.

2011-2013
Business Start-Up Founder at Docear in Magdeburg, Germany

2009-2013 (Multiple Stays)
Visiting Researcher at the University of California, Berkeley, USA, in the groups of Prof. Jim Pitman and Prof. Erik Wilde.

2007
Dipl.-Wirt.-Informatik (equivalent to an MSc in Business Information Systems) at the University of Magdeburg, Germany

2006
MSc in Project Management at the Lancaster University Management School, UK

Publications

2024

Vente, Tobias; Beel, Joeran

The Potential of AutoML for Recommender Systems Journal Article

In: arXiv, pp. 18, 2024.

Abstract | Links | BibTeX

2023

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

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

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

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

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; 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

2022

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

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

2021

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

Al-Rawi, Mohammed; Beel, Joeran

Probabilistic Color Modelling of Clothing Items Book Chapter

In: Recommender Systems in Fashion and Retail, 2021.

BibTeX

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

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

2020

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

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

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

Carroll, Oisín; Beel, Joeran

Finite Group Equivariant Neural Networks for Games Journal Article

In: arXiv, no. 2009.05027, 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

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

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

2019 and earlier

For a full list of all publications, please visit our publications page or my Google Scholar page.

Photo of Prof. Joeran Beel: (C) 2021 Sascha Hüttenhain Photography