Skip to main content.


Track: Posters

Paper Title:
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.

PDF version

Inquiries can be sent to: Email contact: program-chairs at

Valid XHTML 1.0 Transitional