93 search results - page 4 / 19 » A study of methods for normalizing user ratings in collabora... |
AAAI
2012
11 years 7 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
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...
SIGIR
2006
ACM
13 years 11 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
CIKM
2009
Springer
13 years 12 months ago
2009
Springer
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...