Feature Weighting in Content Based Recommendation System Using Social Network Analysis
- Souvik Debnath(Indian Institute of Technology)
- Niloy Ganguly(Indian Institute of Technology)
- Pabitra Mitra(Indian Institute of Technology)
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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