A latent model for collaborative filtering

Helge Langseth, Thomas Dyhre Nielsen

Publikation: Working paperForskning

373 Downloads (Pure)


Recommender systems based on collaborative filtering have received a great deal of interest over the last decade. Typically, these types of systems either take a user-centered or an item-centered approach when making recommendations, but by employing only one of these two perspectives we may unintentionally leave out important information that could otherwise have improved the recommendations. In this paper, we propose a collaborative filtering model that contains an explicit representation of all items and users. Experimental results show that the proposed system obtains significantly better results than other collaborative filtering systems (evaluated on the MovieLens data set). Furthermore, the explicit representation of all users and items allows the model to e.g. make group-based recommendations balancing the preferences of the individual users.
UdgivelsesstedAalborg Universitet
UdgiverDepartment of Computer Science, Aalborg University
Antal sider24
StatusUdgivet - 2009

Bibliografisk note

Technical Report 09-003

Fingeraftryk Dyk ned i forskningsemnerne om 'A latent model for collaborative filtering'. Sammen danner de et unikt fingeraftryk.