An iterative semi-explicit rating method for building collaborative recommender systems

Author:

Jeong Buhwan,Lee Jaewook,Cho Hyunbo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference21 articles.

1. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Transactions on Knowledge and Data Engineering,2005

2. Araujo, R., Trielli, G., Orair, G., Ferreira, W. M., Jr., R., & Guedes, D. (2006). ParTriCluster: A scalable parallel algorithm for gene expression analysis. In Proceedings of the 18th international symposium on computer architecture and high performance computing (SBAC-PAD’06) (pp. 3–10).

3. Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th conference on uncertainty in artificial intelligence (UAI-98) (pp. 43–52).

4. Comparing state-of-the-art collaborative filtering systems;Candillier;Machine Learning and Data Mining in Pattern Recognition LNCS,2007

5. Evaluating collaborative filtering recommender systems;Deshpande;ACM Transactions on Information Systems,2004

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