Feature Weighting in Content Based Recommendation System Using Social Network Analysis

摘要

We propose a hybridization of collaborative ftering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on their importance to users. The weight values are estimated from a set of linear regression equations obtained from a social network graph which captures human judgment about similarity of items.