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Trinity College Dublin (Ireland)

TCD’s Junior Sports Leadership Course – applications open!

Trinty College Dublin has the perfect solution for young people aged 16-18 who want to stay busy for the summer. Trinity Sport has opened applications for the Junior Sports Leadership Programme 2018. The programme is open to anyone aged 16-18 who wish to broaden their knowledge of sport and coaching. The programme is an excellent learning opportunity, while also providing practical coaching experience. It is open to family members of students and staff, as well as members of the public. There are three phases to the programme: Phase 1 – A one week, 20-hour module in coaching and leadership skills Phase 2 – Undertaking 2 weeks voluntary coaching and leadership on our children’s sports camps this summer Phase 3 – Read more…

Machine Learning

Visiting Professorship: We intensify our collaboration with the NII in Tokyo

Today I was appointed as Visiting Professor at the National Institute of Informatics (NII), effective 1. April 2018 for the forthcoming four years. I am very grateful for the generous support of the NII, and I am looking forward to visiting the NII approximately once or twice a year for a few weeks to collaborate on research relating to recommender systems, machine learning, natural language processing and our other research areas. I have been working closely together with the NII in Tokyo for quite a while, in particular with the Digital Content and Media Division and Prof Dr Akiko Aizawa. As such, I am glad to continue and intensify the collaboration for at least four years.


AICS’2018: We Co-Organize the 26th Irish Conference on Artificial Intelligence and Cognitive Science

We are delighted to announce the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’2018), which we will co-organize together with Rob Brennan, Ruth Byrne, Jeremy Debattista, and a renowned program committee. AICS 2018 takes place from December 6 to 7, 2018 at Trinity College Dublin, more precisely in the Long Room Hub. Deadline for submissions is 30th September 2018. There will be three tracks for submissions, namely full papers, NECTAR Papers, and student papers. The call for papers invites papers relating particularly to machine learning, machine translation, neural networks, data mining, cognitive modelling, behaviour epistemology, evolutionary computation, recommender systems, collective intelligence, human learning, and several more. AICS 2018 is sponsored by the ADAPT Research Centre, Trinity Long Room Hub, and Trinity College Dublin. AICS dates Read more…

Machine Learning

Machine Learning Meetup at DogPatch — 26th March

The Machine Learning Meetup in Dublin, takes place on the last Monday every month. This month, the machine learning meetup is hosted by Dogpatch and there will be plenty of exciting presentations about machine learning: Marco Forte (PhD researcher, Sigmedia Group) speaks about foreground estimation in machine learning and motion estimation for video matting in machine learning including deep learning techniques to create more consistent and content-aware results. Procheta Sen (PhD researcher, ADAPT Centre) speaks about cross-session search and tempo-lexical context-driven machine-learned word embeddings. Elias Giacoumidis, (Marie-Curie Fellow, CONNECT) speaks about machine learning optical fiber telecommunications. The next machine learning meetup takes place on 26th March at The Vaults – Dogpatch Labs CHQ Building, Custom House Quay, Dublin. Talks are from 18:30 Read more…


Guest Lecture / Workshop by Thorsten Schaeff, Stripe

As part of our e-Business II lecture, we invited Thorsten Schaeff to give a guest lecture, more precisely, a workshop. Thorsten is a partner engineer at Stripe, which is a payment platform, competing with PayPal. During the 90 minute lecture, Thorsten will give a short introduction to Stripe, the history, their culture, and plans for Dublin as an engineering hub. We will then look at the “old way” of making payments on the Web, including the PCI standard, and then dive into a hands-on workshop focusing on building frictionless checkout experiences with Stripe Elements, their UI components for collecting credit card details and enabling wallet payments via Apple and Google Pay. If time allows we can then look at adding local Read more…


Our new website is live!

Today, we launched our new website It provides lots of information about our research, publications, projects, and teaching relating to recommender systems, machine learning and more. The new website also combines the blog posts of our project websites Mr. DLib and Docear.

Jobs / Career

We Are Hiring: 1 Software/Machine-Learning Engineer & 1 Software Architect / Product Owner for a Recommender-System Business Start-up

UPDATE: We will soon advertise another position for this start-up. Please come back in a few days. The School of Computer Science and Statistics of Trinity College Dublin and the ADAPT Centre received funding to hire 2 employees for 2 years* to spin-out a business start-up in the field of recommender-systems as-a-service and machine learning in Dublin. The two positions are to be filled with one machine-learning engineer and one software architect/product manager, whereas both employees are expected to work together very closely. They will be responsible for developing a recommender-system as-a-service that uses a unique technology, based on the research of Prof Dr Joeran Beel who will be the project lead (read here for a brief outline of the Read more…

Recommender Systems

Seminar by Prof Dietmar Jannach: “Recommender Systems – Beyond Matrix Completion”

We are delighted to announce a seminar by Prof Dr Dietmar Jannach on Recommender Systems at Trinity College Dublin. Dietmar Jannach is a well-known researcher in the field of recommender systems and author of the book “Recommender Systems: An Introduction“. The seminar is open to all staff, students, and visitors in Dublin who are interested in recommender systems. Title: Recommender Systems – Beyond Matrix Completion Abstract: Automated recommendations have become a common part of our daily online user experience. Significant advances were made in recent years in terms of algorithmic approaches to compute recommendations for users. The main task in such an algorithm-focused setting is to predict through machine learning approaches how relevant a certain item will be for an Read more…

Jobs & Internships

We welcome two DAAD interns in recommender systems and machine learning (Dublin & Tokyo)

As part of the DAAD RISE Worldwide program, we were awarded two funded internship positions for two undergraduate students both being from Germany. The two interns will be conducting a research project as part of Mr. DLib in the fields of recommender systems, machine learning and natural language processing. Gordian (University of Munich / LMU) and Martin (Universty of Göttingen) will spend around three months with us over the summer — Gordian at the National Institute of Informatics in Tokyo, and Martin at the ADAPT Centre and School of Computer Science at the Trinity College Dublin.


Call for Papers: ACM Recommender Systems Conference 2018 in Vancouver

The ACM Conference on Recommender Systems (RecSys) is the premier conference to present new research results, systems, and techniques including machine learning and natural language processing relating to recommender systems.  This year, the 12th ACM Conference on Recommender Systems takes place in Vancouver, and the call for papers has just been published. We are proud to serve on the program committee and hope to receive many interesting submissions this year.


Update for Docear’s “Google Scholar Parser” Library to Fetch Metadata for PDF files

Google Scholar recently changed its layout, and as a consequence, Docear couldn’t fetch metadata anymore from Google Scholar for PDF files. Fortunately, one of our users (“Silberzwiebel”) adjusted Docear’s Google Scholar Parser, and now everything works as usual. However, we have not yet integrated the function into the main version of Docear. This means, even if you have just downloaded Docear, you need to manually update the Google Scholar Parser, if you want to fetch metadata for your PDF files. To update the Google Scholar parser, do the following Close Docear if it’s currently running Download the updated library docear-metadata-lib-0.0.1.jar. Replace the existing file “docear-metadata-lib-0.0.1.jar” with the new one. You will find the file in C:Program Files (x86)Docearpluginsorg.docear.plugin.bibtexlib (Windows 10) or a Read more…