Information Filtering via Self-Consistent Refinement

Abstract

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.

4 pages, 2 figures

References in corpus (10)

• How to project a bipartite network?
• Collaborative Tagging and Semiotic Dynamics
• Heat Conduction Process on Community Networks as a Recommendation Model
• Effect of initial configuration on network-based recommendation
• Uncovering collective listening habits and music genres in bipartite networks
• Information filtering via Iterative Refinement
• Extracting Hidden Information from Knowledge Networks
• Recommendation model based on opinion diffusion
• Decoding Information from noisy, redundant, and intentionally-distorted sources
• Exploring an opinion network for taste prediction: an empirical study

Cited by in corpus (13)

• Recommender Systems
• Solving the apparent diversity-accuracy dilemma of recommender systems
• Personalized Recommendation via Integrated Diffusion on User-Item-Tag Tripartite Graphs
• Ultra accurate personalized recommendation via eliminating redundant correlations
• Information filtering via preferential diffusion
• Collaborative filtering with diffusion-based similarity on tripartite graphs
• Information filtering based on transferring similarity
• Personal Recommendation via Modified Collaborative Filtering
• Emergence of scale-free leadership structure in social recommender systems
• Highly accurate recommendation algorithm based on high-order similarities
• Behavior patterns of online users and the effect on information filtering
• Personalized recommendation with corrected similarity
• Collaborative filtering based on multi-channel diffusion