Joeran Beel

I Join the Scientific Advisory Board of the German Academic Exchange Service (DAAD) for IFI Scholarships in Artificial Intelligence and Machine Learning

Update 2019-08-14 DAAD published a new website for the IFI programme: www.daad.de/ifi I was invited to join the scientific advisory board for the new IFI programme of the German Academic Exchange Service (Deutscher Akademischer Austauschdienst – DAAD). The IFI programme (German: “Internationale Forschungsaufenthalte für Informatiker_Innen”) is the successor of the Read more…

By Joeran Beel, 7 years ago

Recommender Systems

“Stochastic Bandits for Sticky Recommendations” — Seminar by Prof Theja Tulabandhula (25th of June 2019)

We are delighted to announce a seminar by Prof Theja Tulabandhula from the University of Illinois Chicago. The seminar will start at 10:00 am, Tuesday, 25 of June 2019 in the Small Conference Room in the O’Reilly Institute at Trinity College Dublin. Theja is visiting our lab and presents his Read more…

By Joeran Beel, 7 years ago

Recommender Systems

Trinity College Dublin Features our Recommender-Systems Research on its Main Website

Trinity College Dublin has a new website and we are honored that our research about recommender-systems is featured as one of six research projects on TCD’s research page in the #researchMATTERS section.

By Joeran Beel, 7 years ago

Darwin & Goliath

Our Business Startup ‘Darwin & Goliath’ is Among the 10 Finalists at NDRC’s Business Plan Competition

A few months ago, we — Alan Griffin, Conor O’Shea, and I — started the private beta of our recommender-system as-a-service Darwin & Goliath. Now, we made it to the final round (10 start-ups) of The Ireland Funds Business Plan Competition, organized by NDRC. We are looking forward to a Read more…

By Joeran Beel, 7 years ago

Recommender Systems

Invited Talk at LibTech / 48th LIBER Conference

I have been invited to give a talk at the LibTech Workshop at the 48th Annual LIBER Conference. The Library of Trinity College Dublin (TCD) has been cultivating an open innovation research model in partnership with a number of Trinity research centres. The ADAPT Centre and the Library are pleased Read more…

By Joeran Beel, 7 years ago

TensorFlow Google, Neural Turing Machine (NTM), Memory-Augmented Neural Network

Machine Learning

Google integrates our Neural-Turing-Machine Implementation in TensorFlow

Google integrated our implementation of a Neural Turing Machine (NTM) into its official TensorFlow release 1.14.0. The implementation is based on the work of our student Mark Collier. The work was previously published at the 27th International Conference on Artificial Neural Networks Conference ICANN and received the best-paper award. Neural Read more…

By Joeran Beel, 7 years ago

Recommender Systems

New Publication: Choice Overload and Recommendation Effectiveness in Related-Article Recommendations

The International Journal on Digital Libraries (IJDL) published our manuscript “Choice Overload and Recommendation Effectiveness in Related-Article Recommendations: Analyzing the Sowiport Digital Library”. The paper is freely available as open access via Springer. The paper is an extended version of a previous paper published at the 5th International Workshop on Read more…

By Joeran Beel, 7 years ago

Machine Learning

240 PhD stipends in AI, ML, AutoML, RecSys, NLP, IR, AR, VR, … in Ireland (~2 in Our Group)

Please note, this is a continuous program until 2022, with student intakes in September every year (and potentially in March). Hence, please feel free to apply at any time, or if the application page is currently closed, wait for a few weeks until applications are open again. If you have Read more…

By Joeran Beel, 7 years ago

Internal

Victor Brunel Visits Us For a 3-Months Internship in Machine-Learning Research

Victor will be with us from the 1st of May to the end of July 2019. He’s a French Master’s student from the engineering school Polytech Clermont-Ferrand, which is attached to the university Clermont Auvergne. Victor studies Mathematics and Computer Science in the department of mathematics and modelling. Victor chooses Read more…

By Joeran Beel, 7 years ago

Conferences

AMIR 2019 Was a Full Success (Photos)

AMIR 2019 — The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval — is over, and it was a full success. We had many interesting presentations and around 20 attendees. The following photos give some impressions.

By Joeran Beel, 7 years ago

Machine Learning

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

Update: Read the full manuscript, which was presented at the AutoML workshop, here. Introduction There is an ever-growing number of tools for automating the machine learning pipeline, both commercial and open source. Auto-sklearn [11, 15], Auto Weka [14], ML-Plan [18], and H2O.ai are only some examples. In addition, the auto* Read more…

By Joeran Beel, 7 years8th April 2019 ago

Machine Learning

Appointed as Strand Lead in the Intelligent Systems Programme

The school of computer science and statistics appointed me as the Strand Lead for the Intelligent Systems Programme in the MSc in Computer Science course at Trinity College Dublin. I am looking forward to continuing to develop the programme and ensuring the highest quality in teaching, liaising with student representatives, Read more…

By Joeran Beel, 7 years ago

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, 7 years ago

Off-Topic

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, 7 years ago

Internal

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, 7 years ago

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

Internal

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, 7 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, 8 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, 8 years ago

Hebatallah Mohamed, Recommender Systems and Machine Learning PhD Visitig Student

Internal

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, 8 years ago

Torsten Schaub giving his keynote at the at AICS Conference

Conferences

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, 8 years8th December 2018 ago

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

Jobs

“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, 8 years21st November 2018 ago

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

Seminars

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, 8 years ago

Seminars

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, 8 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, 8 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, 8 years ago

Please visit https://isg.beel.org/people/joeran-beel/ for more details about me.