18 citations · 29 across the 4 of their papers we have counts for
4 papers · 1 filter
Action-conditional Sequence Modeling for Recommendation
Elena Smirnova
In many online applications interactions between a user and a web-service are organized in a sequential way, e.g., user browsing an e-commerce website. In this setting, recommendat…
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…
Specializing Joint Representations for the task of Product Recommendation
Thomas Nedelec, Elena Smirnova, Flavian Vasile
We propose a unified product embedded representation that is optimized for the task of retrieval-based product recommendation. To this end, we introduce a new way to fuse modality-…
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Elena Smirnova, Flavian Vasile
Recommendations can greatly benefit from good representations of the user state at recommendation time. Recent approaches that leverage Recurrent Neural Networks (RNNs) for session…