115 search results - page 2 / 23 » Data Sparsity Issues in the Collaborative Filtering Framewor... |
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
UM
2007
Springer
13 years 10 months ago
2007
Springer
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
JCDL
2005
ACM
13 years 10 months ago
2005
ACM
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
WEBI
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
IRAL
2003
ACM
13 years 9 months 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...