25 search results - page 3 / 5 » Predicting Neighbor Goodness in Collaborative Filtering |
122
Voted
RECSYS
2009
ACM
15 years 9 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...
124
Voted
ICDM
2005
IEEE
15 years 8 months ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
127
Voted
AH
2008
Springer
15 years 9 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 ...
125
Voted
IAT
2009
IEEE
15 years 9 months ago
2009
IEEE
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
93
Voted
CORR
2007
Springer
15 years 2 months ago
2007
Springer
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...