Claudio Gentile

Online Reciprocal Recommendation with Theoretical Performance Guarantees

2018 · arXiv (Cornell University)

A reciprocal recommendation problem is one where the goal of learning is not just to predict a user's preference towards a passive item (e.g., a book), but to recommend the targeted user on one side …

Collaborative Filtering Bandits

2016

Classical collaborative filtering, and content-based filtering methods try to learn a static recommendation model given training data. These approaches are far from ideal in highly dynamic recommendation domains such as news recommendation and computational advertisement, …