Journal
EPL
Volume 82, Issue 5, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1209/0295-5075/82/58007
Keywords
-
Categories
Ask authors/readers for more resources
Recommender systems are significant to help people deal with the world of information explosion and overload. In this letter, we develop a general framework named self-consistent refinement and implement it by embedding two representative recommendation algorithms: similarity-based and spectrum-based methods. Numerical simulations on a benchmark data set demonstrate that the present method converges fast and can provide quite better performance than the standard methods. Copyright (c) EPLA, 2008.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available