by Balázs Hidasi
This is the second of three posts on the RecSys 2016 conference. Last week I wrote about the conference in general. This week I’ll discuss what Gravity contributed to the conference.
Since the conference was overseas, the Gravity contingent at RecSys was small this year, compared to last year. Only our CEO (Domonkos Tikk) and myself as the Head of Research represented Gravity. However, the contributions of Gravity were plentiful. We organized a workshop, had a long and two PPF papers, as well as a poster.
We co-organized the 1st Deep Learning for Recommender Systems (DLRS) workshop with Alexandros Karatzoglou from Telefonica Research and researchers from Israel (IBM Research & Ben Gurion University). The idea of organizing the workshop came to us naturally, since we were early adopters of deep learning in the RecSys community: we launched joint research collaboration with Alex last summer in this topic and have been working in this area ever since. We wanted to spread the word about deep learning in this community and encourage research, so we proposed to have this workshop. We were joined by another group who had a similar idea. The contribution of co-organizers showed significant variance, but this is pretty much what you can expect with seven organizers. 🙂