A Recommendation Algorithm Combining User Grade-Based Collaborative Filtering and Probabilistic Relational Models

@article{Gao2007ARA,
  title={A Recommendation Algorithm Combining User Grade-Based Collaborative Filtering and Probabilistic Relational Models},
  author={Ying Gao and Hong Qi and Jie Liu and Dayou Liu},
  journal={Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)},
  year={2007},
  volume={1},
  pages={67-71}
}
Collaborative filtering (CF) is a successful technology for building recommender systems. Unfortunately, it suffers from three limitations - sparsity, scalability and cold start problem. To address these problems, a recommendation algorithm combining user grade-based collaborative filtering and probabilistic relational models (UGCF-PRM) is presented. UGCF-PRM integrates user information, item information and user-item rating data, and uses an adaptive recommendation strategy for each user. In… CONTINUE READING
6 Citations
14 References
Similar Papers

Similar Papers

Loading similar papers…