10 search results - page 1 / 2 » Collaborative Filtering via Rating Concentration |
95
Voted
JMLR
2010
14 years 7 months 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...
109
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CIKM
2004
Springer
15 years 6 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....
104
Voted
SIGIR
2003
ACM
15 years 6 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 ...
150
Voted
SDM
2012
SIAM
13 years 3 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...
133
Voted
RECSYS
2010
ACM
15 years 1 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...