56 search results - page 3 / 12 » Accuracy in Rating and Recommending Item Features |
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
I3E
2008
13 years 6 months ago
2008
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
WKDD
2010
CPS
13 years 10 months ago
2010
CPS
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
AIRS
2005
Springer
13 years 11 months ago
2005
Springer
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
AH
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...