Joeran Beel – Page 5 – ISG Siegen

Machine Learning

Upcoming Breakfast Seminar for Potential Postdoctoral ELITE-S Applicants (Standardization in ML, AI, and RecSys)

The ELITE-S initiative organizes a breakfast seminar to bring together potential applicants and supervisors. Every postdoctoral researcher, who is interested in standardization in the field of recommender systems, machine learning, and artificial intelligence, is sincerely invited to join the breakfast. During the seminar, you will learn more about the 2-year Read more…

By Joeran Beel, 6 years ago

Google File Stream: A Horror Story with Corrupted Files and More

I am not usually writing in this blog about my experience with software, but today I make an exception to prevent others from making the same bad experience that I had with Google File Stream, the enterprise version of Google Drive / GDrive. My research group is using Google File Read more…

By Joeran Beel, 6 years ago

Aicha Chorana joins our group as a PhD-visiting student for 1.5 years

Aicha is a PhD student of Computer Science at the University of Laghouat in Algeria. She arrives today and will work with us for 1.5 years. Aicha’s research interests include machine learning, natural language processing, and recommender systems. Aicha’s PhD topic is analyzing user engagement behaviour in online social networks Read more…

By Joeran Beel, 6 years ago

$Ian Mackerracher, Visiting Student, 2019, Machine Learning, Math Retrieval$

We welcome a new visiting student-researcher from the University of Konstanz, Germany

Ian will be joining us for 6 months starting today. Ian is currently enrolled as a master’s student of Computer and Information Science at the University of Konstanz in the south of Germany. Ian’s research interests include machine learning, natural language processing, information retrieval and recommender systems. Ian is currently Read more…

By Joeran Beel, 6 years ago

Machine Learning

ELITE-S: 16 Postdoctoral Fellowships in ICT Standardisation — Recommender-Systems, (Automated) Machine Learning, APIs, …

Update: Deadline extended to July 15th, 2019. ELITE-S provides up to 16 postdoctoral fellowships to work for 2 years in the ADAPT Research Centre at Trinity College Dublin, University College Dublin, or other Irish universities as well as with an industry partner. ELITE-S is a EU Marie Skłodowska-Curie COFUND Action. Read more…

By Joeran Beel, 6 years ago

Recommender Systems

V2 of Mr. DLib’s Recommender System As-a-Service is now available

The first beta version of Mr. DLib V2 has been released and is performing very well so far. With our partner JabRef, we have delivered over 70 thousand sets of recommendations (approximately 1,000 per day), or a total of over 450,000 individual recommendations. We have a click through rate (CTR) Read more…

By Joeran Beel, 7 years ago

Hebatallah Mohamed, Recommender Systems and Machine Learning PhD Visitig Student

We welcome Hebatallah as a new visiting PhD student for 3 months

Our lab is glad to welcome Hebatallah Mohamed as a visiting PhD student for three months. Hebatallah is a PhD student at the Department of Computer Science at the University of Roma Tre in Italy. In Rome, she is doing her PhD under the supervision of Prof. Alessandro Micarelli in Read more…

By Joeran Beel, 7 years ago

Torsten Schaub giving his keynote at the at AICS Conference

Report from the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science

The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS) is over, and it was a full success. This year, AICS celebrated its 30th anniversary and was hosted by Trinity College Dublin’s School of Computer Science and Statistics, the School of Psychology and the Institute of Neuroscience. I had the Read more…

By Joeran Beel, 7 years8th December 2018 ago

PhD scholarship for Chinese nationals to study at Trinity College Dublin (e.g. machine learning and recommender systems research)

“China Scholarship Council – Trinity College Dublin Joint Scholarship” now open for applications

As in previous years, Trinity College Dublin has up to 10 scholarships to award for PhD positions as part of the China Scholarship Council – Trinity College Dublin Joint Scholarship Programme. Each scholarship will include a full fee-waiver from Trinity, and a stipend for living costs (currently €1,200 per month), Read more…

By Joeran Beel, 7 years21st November 2018 ago

Antoaneta Marinova, Data Scientist and Machine-Learning Engineer at Zalando

Serving Customer Insights in Zalando (Upcoming Presentation in our Machine Learning Lecture)

After announcing a guest presentation from Zalando in our e-Business lecture, we are delighted to announce another talk by Zalando, this time in our machine learning lecture. Antoaneta Marinova from Zalando, will give a presentation on 27th November at 15:00 o’clock. Antoaneta is a Data Engineer in the Customer Fashion Profile Read more…

By Joeran Beel, 7 years ago

Re-Platforming a €5-Billion Company, with Zero Downtime. The Zalando Story! (Upcoming Presentation)

I am delighted to announce that Conor Gallagher from Zalando Ireland will be giving a presentation in my e-Business II lecture on 27th of November at 11:00 o’clock. Conor is Senior Engineer and Team Lead on the Zalando re-platforming project. The presentation is titled “Re-Platforming a €5 billion company, with zero Read more…

By Joeran Beel, 7 years ago

Screenshot of the Homepage of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Machine Learning

Accepted Workshop @ECIR2019: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Our proposal for the “1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)“, to be held at the 41st European Conference on Information Retrieval (ECIR), was accepted. AMIR will take place on the 14th of April 2019 in Cologne, Germany. The algorithm selection problem describes the challenge Read more…

By Joeran Beel, 7 years ago

Machine Learning

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

Our manuscript “ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers” was accepted for publication at the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS). It is an extended version of our recently presented poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” at the ACM RecSys conference. The Read more…

By Joeran Beel, 7 years ago

Participate in the “Track Your Daily Routine” Research Study About Your Smartphone Usage and Your Personality

A colleague of mine has initiated a new research project to analyse smartphone users’ usage behaviour and personality. He and his team have released an Android app named TYDR: Track Your Daily Routine. With the data from TYDR, they want to research if they can estimate the personality of a smartphone user Read more…

By Joeran Beel, 7 years ago

Recommendations as-a-Service (RaaS)

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

Our manuscript “The Architecture of Mr. DLib’s Scientific Recommender-System API” got accepted at the “26th Irish Conference on Artificial Intelligence and Cognitive Science” (AICS), and here is the pre-print version (HTML below; PDF on arxiv). The bibliographic BibTeX data is: @InProceedings{Beel2018MDLArch, author = {Beel, Joeran and Collins, Andrew and Aizawa, Read more…

By Joeran Beel, 7 years ago

ICANN 2018 Best Paper Award - Implementing Neural Turing Machines

Machine Learning

Best-Paper Award for our Publication “Implementing Neural Turing Machines” at the 27th International Conference on Artificial Neural Networks

Update 2019-05-25: Google integrates our Neural Turing Machine implementation in TensorFlow. We received the best-paper award at the 27th International Conference on Artificial Neural Networks (ICANN 2018) for our paper Implementing Neural Turing Machines. Our student, and co-author of the paper, Mark Collier was at ICANN to present our work about implementing Read more…

By Joeran Beel, 7 years ago

ACM Recommender Systems Conference

Recommender Systems

Report/Photos from the 12th ACM Conference on Recommender Systems in Vancouver

Today, the 12th ACM Conference on Recommender Systems began in Vancouver, Canada. We attend and will present our work on meta-learning reference parsing tools in which we treat reference extraction from scientific articles as a recommendation problem. If you also attend the conference, visit us during the poster session on Thursday. So Read more…

By Joeran Beel, 7 years ago

Screenshot of the Homepage of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Machine Learning

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

Lars Kotthoff and I have applied to organize the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) at the 41st European Conference on Information Retrieval (ECIR). Let’s cross fingers and hope it will get accepted. In the following, you find the proposal (also available on ResearchGate as PDF). Read more…

By Joeran Beel, 7 years ago

Government of Ireland Postgraduate Scholarship Programme 2019 in Machine Learning or Recommender Systems in Dublin

Open Call for “Government of Ireland Postgraduate Scholarship Programme 2019”

The Irish Research Council (IRC) has published a new call for its “Government of Ireland Postgraduate Scholarship” programme. We are eligible to supervise applicants during their application process and act as PhD supervisor for the 4-year period of the scholarship. Hence, if you are interested in doing a PhD at Read more…

By Joeran Beel, 7 years ago

Apply for the EDGE Marie Curie Fellowship in Machine-Learning or Recommender-Systems Research

Machine Learning

3rd Call for EU Marie Curie EDGE Fellowships (e.g. in Machine-Learning or Recommender-Systems Research)

The 3rd call for EU Marie Curie EDGE fellowships has been published. We successfully supported the application of one EDGE fellow a year ago, and we would be happy to support talented candidates this year, too. So, if you are interested in an EDGE fellowship in the field of machine learning, recommender systems or Read more…

By Joeran Beel, 7 years ago

Research-Paper Recommender Systems: A Literature Survey

Recommender Systems

“Research-Paper Recommender Systems: A Literature Survey” now available open access

“Research-Paper Recommender Systems: A Literature Survey”, our survey on recommender systems for research articles and citations is now available open access on Springer via ReadCube https://rdcu.be/5qT7. This survey is our most cited paper (241 citations according to Google Scholar), and we are glad that it is now available for free for Read more…

By Joeran Beel, 7 years ago

Machine Learning

Trinity College Dublin seeks to hire a Professor (Chair) in Intelligent Systems

The University of Dublin, Trinity College, invites applications for the position of Professor of Intelligent Systems. The successful candidate will provide strong academic leadership in research, teaching and supervision. The Professor will strengthen the strategic research areas of Artificial Intelligence and Intelligent Content in the School of Computer Science and Read more…

By Joeran Beel, 7 years ago

Machine Learning

ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing (Pre-Print)

We are delighted to announce that our poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” has been accepted at the 12th ACM Recommender Systems Conference (RecSys) for presentation in Vancouver, Canada. The pre-print is available on arXiv, and here in our blog: Abstract Bibliographic reference parsers extract metadata (e.g. author names, Read more…

By Joeran Beel, 7 years ago

Click-through rate (CTR) and # of delivered recommendation in JabRef for Mr. DLib’s (MDL) and CORE’s recommendation engine and in total

Recommender Systems

Mr. DLib’s Living Lab for Scholarly Recommendations (preprint)

We published a manuscript on arXiv about the first living lab for scholarly recommender systems. This lab allows recommender-system researchers to conduct online evaluations of their novel algorithms for scholarly recommendations, i.e., research papers, citations, conferences, research grants etc. Recommendations are delivered through the living lab´s API in platforms such Read more…

By Joeran Beel, 7 years ago

Recommender Systems

RARD II: The 2nd Related-Article Recommendation Dataset (preprint)

We released a new version of RARD, i.e. RARD II and describe the new release in a preprint published on arXiv. The dataset is available at http://data.mr-dlib.org and the new manuscript is available on arXiv and here in our Blog. The main contribution of this paper is to introduce and describe Read more…

By Joeran Beel, 7 years ago