10 search results - page 1 / 2 » Collaborative Filtering via Rating Concentration |
JMLR
2010
13 years 2 days ago
2010
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
CIKM
2004
Springer
13 years 10 months ago
2004
Springer
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...