33 search results - page 3 / 7 » Measuring predictive capability in collaborative filtering |
AAAI
2006
13 years 6 months ago
2006
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
ECIR
2010
Springer
13 years 6 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
13 years 11 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...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
EWMF
2003
Springer
13 years 10 months 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...