In this paper, we propose a novel method to compute the similarity between congeneric nodes in bipartite networks. Different from the standard cosine similarity, we take into account the influence of node's degree. Substituting this new definition of similarity for the standard cosine similarity, we propose a modified collaborative filtering (MCF). Based on a benchmark database, we demonstrate the great improvement of algorithmic accuracy for both user-based MCF and object-based MCF.
Collaborative filtering approach REF is to filter information based on the similarity of users.
Personal Recommendation via Modified Collaborative Filtering
Physica A 388 (2009) 462-468
Mathematics Physics