298 citations · 626 across the 17 of their papers we have counts for
3 papers · 1 filter
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation
Kiewan Villatel, Elena Smirnova, Jérémie Mary +1
Recommender systems objectives can be broadly characterized as modeling user preferences over short-or long-term time horizon. A large body of previous research studied long-term r…
Hybrid Collaborative Filtering with Autoencoders
Florian Strub, Jeremie Mary, Romaric Gaudel
Collaborative Filtering aims at exploiting the feedback of users to provide personalised recommendations. Such algorithms look for latent variables in a large sparse matrix of rati…
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms
Hai Thanh Nguyen, Jérémie Mary, Philippe Preux
In this paper, we study a cold-start problem in recommendation systems where we have completely new users entered the systems. There is not any interaction or feedback of the new u…