Information Filtering via Self-Consistent Refinement

Details Information Filtering via Self-Consistent Refinement Information Filtering via Self-Consistent Refinement

2008-02-26

arxiv.org/abs/0802.3748v1

EPL 82 (2008) 58007

Physics

Data Analysis, Statistics and Probability

4 pages, 2 figures

Scientific paper

10.1209/0295-5075/82/58007

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 be 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.

Affiliated with

Also associated with

No associations

Rating

Information Filtering via Self-Consistent Refinement does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Information Filtering via Self-Consistent Refinement, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information Filtering via Self-Consistent Refinement will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-606593