124 search results - page 18 / 25 » Recommending twitter users to follow using content and colla... |
AAAI
2012
11 years 10 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
EWMF
2003
Springer
14 years 21 days ago
2003
Springer
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
ISMIR
2005
Springer
14 years 1 months ago
2005
Springer
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...