34 search results - page 4 / 7 » Transfer Learning in Collaborative Filtering with Uncertain ... |
ECIR
2010
Springer
13 years 9 months ago
2010
Springer
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
ACMSE
2006
ACM
14 years 1 months ago
2006
ACM
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
SIGIR
2009
ACM
14 years 1 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
SIGIR
2009
ACM
14 years 1 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...