Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
Browsing and searching for documents in large, online enterprise document repositories are common activities. While internet search produces satisfying results for most user queri...
Andreas Girgensohn, Frank M. Shipman III, Francine...
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...