Typicality-Based Collaborative Filtering Recommendation
|Name||Typicality-Based Collaborative Filtering Recommendation|
Collaborative filtering is the new techynology in coming day but user facing some issue with Cf. Main problem is data sparsity, recommendation inaccuracy, and big-error in predictions. so new solution that is ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A distinct feature of typicality-based CF is that it finds "neighbors" of users based on user typicality degrees in user groups (instead of the corated items of users, or common users of items, as in traditional CF). To the best of our knowledge, there has been no prior work on investigating CF recommendation by combining object typicality.
|ieee paper year||2015|