Improving the performance of recommender systems by alleviating the data sparsity and cold start problems

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 3217-3218

  Guo, Guibing ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84896061409     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. A. Bellogín and J. Parapar. Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. In Proceedings of the 6th ACM Conference on Recommender Systems (Rec-Sys'12), pages 213-216, 2012.
2. G. Guo, J. Zhang, and D. Thalmann. A simple but effective method to incorporate trusted neighbors in recommender systems. In Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP'12), pages 114-125, 2012.
3. G. Guo, J. Zhang, and N. Yorke-Smith. A novel bayesian similarity measure for recommender systems. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), 2013.