165 search results - page 6 / 33 » Improving Collaborative Filtering Recommendations Using Exte... |
KAIS
2011
13 years 2 months ago
2011
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
SIGIR
2009
ACM
14 years 2 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...
CSREAEEE
2006
13 years 9 months ago
2006
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
IRAL
2003
ACM
14 years 26 days ago
2003
ACM
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
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...