document: Feature weighting in content based recommendation system using social network analysis 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 .
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