93 search results - page 8 / 19 » A study of methods for normalizing user ratings in collabora... |
AH
2008
Springer
14 years 1 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 ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistic...
AAAI
2010
13 years 8 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...
SIGIR
2009
ACM
14 years 1 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
DEBU
2008
13 years 7 months ago
2008
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...