270 search results - page 37 / 54 » Explaining collaborative filtering recommendations |
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
EWMF
2003
Springer
14 years 1 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...
CSCW
2006
ACM
14 years 1 months ago
2006
ACM
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...