115 search results - page 3 / 23 » Data Sparsity Issues in the Collaborative Filtering Framewor... |
ECIR
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
NIPS
2004
13 years 6 months ago
2004
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
ICDM
2005
IEEE
13 years 10 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 ...
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...