Feature weighting in content based recommendation system using social network analysis
- 21 April 2008
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 1041-1042
- https://doi.org/10.1145/1367497.1367646
Abstract
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.Keywords
This publication has 1 reference indexed in Scilit:
- Hybrid Recommender Systems: Survey and ExperimentsUser Modelling and User-Adapted Interaction, 2002