Feature weighting in content based recommendation system using social network analysis
Souvik Debnath, Niloy Ganguly, Pabitra Mitra · 2008
We propose a hybridization of collaborative filtering 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.