We are grateful for the opportunity to present some of our recent work at the ISG with two posters at the COSEAL Workshop 2023 at Sorbonne University in Paris. The COnfiguration and SElection of ALgorithms (COSEAL) network of researchers regularly meets to discuss recent advances in the field of algorithm Read more…
With great delight, we had the opportunity to discuss our paper on our vision of a novel way to utilize the advantages of meta-learning in recommender systems at the 2nd Workshop: Perspectives on the Evaluation of Recommender Systems @ ACM Recommender Systems 2022. We had plenty of amazing discussions on Read more…
Mukesh Arambakam is a master’s student at the School of Computer Science and Statistics at Trinity College Dublin in Ireland. He joins us for the academic year 2019-20 to conduct his Master Thesis. He graduated with his bachelor’s degree with a first-class distinction (equivalent to 1:1) from Amrita Vishwa Vidyapeetham. Read more…
Bryan Tyrrell will be joining our group to complete a dissertation during the current academic year. Bryan is currently studying a Masters in the field of computer science and has chosen the future networked systems strand. He completed a bachelor’s degree in computer and electronic engineering from NUI Galway during Read more…
On October 1, 2019, I will be giving an invited talk at Huawei’s ‘Planet-Scale Intelligent Cloud Operations Summit’ in The Gibson Hotel Dublin (11:30 o’clock). Abstract: Selecting and configuring the most effective algorithm for a computational problem is a non-trivial task — be it for machine learning, recommender systems, or Read more…
Laura Tierney joins our group for the next couple of months. Laura is a 4th-year undergraduate student of Mathematics at Trinity College Dublin. She has experience working as a Data Analyst intern and as a Data Quality intern with the Adapt Centre in DCU. After college, she hopes to get Read more…
We were accepted for publication at ComplexRec 2019, the third workshop on Recommendation in Complex Scenarios at the 13th ACM Recommender Systems Conference (RecSys 2019) in Copenhagan, Denmark. Abstract. effectiveness of recommender system algorithms varies in different real-world scenarios. It is difficult to choose a best algorithm for a scenario Read more…
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.
Our paper “A Novel Approach to Recommendation Algorithm Selection using Meta-Learning” was accepted for publication at the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS): Introduction The ‘algorithm selection problem’ describes the challenge of finding the most effective algorithm for a given recommendation scenario. Some typical recommendation scenarios are Read more…