In this paper, we propose an interest expansion strategy via personalized ranking based on the topic model, named iExpand, for building an interest-oriented ...

To that end, in this paper, we propose an interest expansion strategy via personalized ranking based on the ... Collaborative filtering, interests expansion, ...

2010/10/26 · ... user interests are largely under-explored. To that end, in this paper, we propose an interest expansion strategy via personalized ranking ...

Xiong, and C. H. Q. Ding, “Exploiting user interests for collaborative filtering: Interests expansion via personalized ranking,” in Proc. 19th ACM CIKM ...

2011/08/29 · The iExpand method introduces a three-layer, user-interests-item, representation scheme, which leads to more accurate ranking recommendation ...

Using social connections to better estimate users' rankings of products is the task we consider in this paper. We develop a model, SBPR (Social Bayesian ...

The iExpand method introduces a three-layer, user-interests-item, representation scheme, which leads to more accurate ranking recommendation results with ...

Exploiting user interests for collaborative filtering: Interests expansion via personalized ranking. Conference Paper. Full-text available. Oct 2010. Qi Liu ...

In these systems, the user behaviors are influenced by the hidden interests of the users. Learning to leverage the information about user interests is often ...

In this paper we study the problem of news personalization by leveraging usage information that is external to the news service.