153 search results - page 21 / 31 » Combinational collaborative filtering for personalized commu... |
GFKL
2007
Springer
14 years 1 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...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
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...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
ICIW
2008
IEEE
14 years 1 months ago
2008
IEEE
—User’s behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information se...