Jobs / Career

“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), airfare and health insurance, provided by the CSC, this does not include bench fees. Applicants must be Chinese nationals but can be registered on Masters programmes either within China or at an overseas institution (including Trinity). To be eligible for the scheme, students should have received an unconditional offer letter for their PhD position at Trinity College Dublin. Conditional offers letters may be accepted but only subject to meeting academic Read more…

By Joeran Beel, ago
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 team. She works at Zalando for two years, mainly on attribute recommendations and customer segmentation. Previously, she was working on ad optimisation for Adcash and as a software developer in Axway. She has a masters degree in Artificial Intelligence and a bachelor in Computer Science from Sofia University. Antoaneta´s talk is titled “Serving Customer Insights in Zalando“. The abstract is as follows. The presentation will focus on Zalando’s Customer Fashion Read more…

By Joeran Beel, 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, Akiko}, title = {The Architecture of Mr. DLib’s Scientific Recommender-System API}, booktitle = {Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science}, year = {2018}, volume = {26}, volumes = {1}, number = {26}, pages = {1–12}, abstract = {Recommender systems in academia are not widely available. This may be in part due to the difficulty and cost of developing and maintaining recommender systems. Many operators of Read more…

By Joeran Beel, ago
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 another of our research areas, please contact us. Let us know some details about your yourself and your project idea. EDGE is Marie Skłodowska-Curie COFUND Action, led by Trinity College Dublin on behalf of a group of academic institutions from across Ireland. EDGE will offer 71 prestigious Fellowships for experienced researchers (post-doctoral or equivalent) relocating to Ireland. EDGE is also a training and development programme for scientific excellence, offering a Read more…

By Joeran Beel, ago
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 anyone.

By Joeran Beel, ago
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 as reference management software and digital libraries. The living lab is built on top of the recommender system as-a-service Mr. DLib. Current partners are the reference management software JabRef and the CORE research team. We present the architecture of Mr. DLib’s living lab as well as usage statistics on the first ten months of operating it. During this time, 970,517 recommendations were delivered with a mean click-through rate of 0.22%. Read more…

By Joeran Beel, ago
Partnerships

2-week visit at the NII Tokyo: Dagstuhl-Seminar Presentation, Recommender-System and Machine-Learning Research, …

From the 19th of June until the 2nd of July 2018, I am in Japan at the National Institute of Informatics (NII). It is my first visit as Visiting Professor at the NII, and I am working with Professor Akiko Aizawa on a recommender-system and machine-learning project. Besides that work, there are many interesting presentations and other visitors at the NII. Among others, Prof. Dr. Raimund Seidel is visiting. Prof. Seidel is the organizer of the prestigious Dagstuhl seminar. Dagstuhl enables leading researchers in computer science meet for a few days to discuss the latest advancements and challenges in their fields. The NII is organizing a similar seminar series, the Shonan seminars, and Prof. Seidel shared his experience with organizing the Dagstuhl in a Read more…

By Joeran Beel, ago
Partnerships

MoU between the National Institute of Informatics (NII) and Trinity College Dublin (TCD) / SCSS / ADAPT

After being appointed as a visiting professor at the National Institute of Informatics (NII) a few weeks ago, there is more good news. The NII has signed a memorandum of understanding (MoU) with the School of Computer Science and Statistics (SCSS) of Trinity College Dublin (TCD) and the ADAPT Research Centre. The MoU originates from our long-term collaboration with the NII and outlines a partnership between TCD/SCSS/ADAPT and the NII. The goal of the partnership is to: Engage in joint efforts in research Work together in the area of institute management Exchange administrative and managerial staff Collaborate with industry and agencies for public administration and public services Exchange of research and academic staff and students We begin the collaboration with two projects. First, PhD Read more…

By Joeran Beel, ago
Machine Learning

Call for Marie Curie Individual Fellowships: We are open to supervise projects relating to recommender-systems, machine learning, and NLP here at TCD Dublin

The European Union has published the call for Individual Marie Curie Fellowships (MSCA) with the application deadline being 12 September 2018. The goal of the Individual Fellowships is to enhance the creative and innovative potential of experienced researchers. Our group has already one Marie Curie fellow, i.e. a postdoctoral researcher, as part of the EU/SFI EDGE fellowship programme. However, we are open to supervise more postdoctoral researchers. If you are interested in applying for the Individual Marie Curie Fellowship and need a supervisor, please contact us. We are particularly interested in projects relating to machine learning (machine translation, machine-learning evaluation, novel machine-learning algorithms, curriculum learning), recommender systems, and natural language processing.

By Joeran Beel, ago