Collaborative Filtering for Information Recommendation Systems

@inproceedings{Chen2006CollaborativeFF,
  title={Collaborative Filtering for Information Recommendation Systems},
  author={Anne Yun-An Chen and Dennis McLeod},
  year={2006}
}
INTRODUCTION In order to draw users’ attention and to increase their satisfaction towards online information search results, search engine developers and vendors try to predict user preference based on the user behavior. Recommendations are provided by the search engines or online vendors to the users. Recommendation systems are implemented in commercial and non-profit web sites to predict the user preferences. For commercial web sites, accurate predictions may result in higher selling rates… CONTINUE READING
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