16 search results - page 1 / 4 » The Effect of Sparsity on Collaborative Filtering Metrics |
ADC
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents a detailed study of the behavior of three different content-based collaborative filtering metrics (correlation, cosine and mean squared difference) when they a...
CSCW
1998
ACM
13 years 9 months ago
1998
ACM
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
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...
AAAI
2010
13 years 6 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
UM
2007
Springer
13 years 11 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 ...