We started working at Trinity College Dublin 1.5 years ago and launched our new website only 2 months ago. Yet, Google ranks our website #1 for the search queries ‘recommender systems ireland‘ and ‘recommender systems dublin‘ and, not surprisingly, for the variations ‘ireland recommender systems‘ and ‘dublin Read more…
We have received funding to hire two employees to spin-out a business start-up in the field of recommendations-as-a-service. The two positions are to be filled with two machine-learning engineers, software engineers, software architects or product managers and both employees are Read more…
The next Machine Learning Dublin Meetup will take place on 30th April 2018 at Zalando Dublin, 3 Grand Canal Quay, Dublin 2, Ireland from 6:00 PM to 9:00 PM. I am one of the three presenters: Joeran Beel, Assistant Professor at Read more…
We successfully registered the domain machine-learning.ie (in addition to our domain names relating to recommender-systems). For now, all domains point to our main website https://ISG.beel.org/. In the long run, we may use the domain machine-learning.ie for more specific purposes relating to Read more…
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 Read more…
We recently had a paper accepted to iConference. We used click data from Mr DLib, our recommender-as-a-service, to see if users of recommender systems in digital libraries are affected by position bias. We found that users are affected by position Read more…
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 Read more…
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 Read more…
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) Read more…
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 Read more…
Today, I just discovered that our website is ranked #4 by Google for the search query ‘machine learning dublin’ and #6 for ‘dublin machine learning’. Of course, this is not to mean that we, the School of Computer Science and Statistics at Trinity College Dublin or the ADAPT Centre are one of Read more…
Today, we launched our new website https://ISG.beel.org/. 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 Read more…
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 Read more…
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“. Read more…
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 Read more…
This is another post in our series What Machine-Learning Students Think/Like/Know/Are …, which we began during teaching our Machine-Learning module at Trinity College Dublin, Ireland. Today, we present the machine-learning students’ experience and preferences of machine-learning libraries such as scikit-learn, Tensorflow, Read more…
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 Read more…
From time to time, I get asked by students “how can I find a good PhD supervisor?” And sometimes I sit on PhD evaluation panels and I am surprised how little thought the PhD students put into choosing their supervisor. Read more…
Students apparently had a strong focus on the application of machine learning. Students could each distribute 100 points to the different categories, and most students (24% of the points) wanted to learn about machine learning frameworks like scikit-learn, or Tensorflow. Read more…
The majority of the machine-learning students believed their presentation skills to be average (41%), good (25%) or even excellent (18%). Only a small proportion rated their skills as poor (9%) or very low (7%).
We published a proposal on ResearchGate (DOI: 10.13140/RG.2.2.18759.39842) for a novel approach to the calculate relatedness of research articles and other document types. The relatedness of research articles, patents, legal documents, web pages, and other documents is often calculated with citation Read more…
According to the students´ self-assessment, they had – on average – average knowledge of JAVA (3.2 out of 5 points). However, there was quite a bit of variance. Many students had very little knowledge of JAVA, while others had excellent knowledge. Read more…
The top careers for the machine-learning students were machine-learning engineer (16%), software engineer (16%), business start-up founder (14%), and data scientist (13%). However, also careers in project management (10%), research (9%) and consultancy (8%) were interesting to some students. “Business Read more…
On average, the machine-learning students had average knowledge in databases and general writing (around 3 out of 5 points), below-average knowledge in writing research papers (1.9 out of 5 points), and little knowledge in machine learning (1.5 out of 5). Read more…
