Presentation of the BigDataGrapes project at 12th ACM Conference on Recommender Systems

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research.

RecSys 2018, the twelfth conference in this series, was held in Vancouver, Canada. Participants—more than 800—came from academia and industry presenting their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2018 program featured keynotes and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium. Published papers went through a rigorous full peer review process, having an acceptance rate of 18% for long and 25% for short papers. The conference proceedings available via the ACM Digital Library, are expected to be widely read and cited.

Our partner KULeuven, participated at the event and presented the BigDataGrapes project.