Movie Recommendation System Employing Latent Graph Features in Extremely Randomized Trees
Author:
Affiliation:
1. Birla Institute of Technology & Science, Pilani, Goa, India
Publisher
ACM Press
Reference7 articles.
1. R. Andersen, C. Borgs, J. Chayes, J. Hopcraft, V. S. Mirrokni, and S.-H. Teng. Local computation of pagerank contributions. In Algorithms and Models for the Web-Graph, pages 150--165. Springer, 2007.
2. I. Cantador, P. Brusilovsky, and T. Kuflik. 2nd workshop on information heterogeneity and fusion in recommender systems (hetrec 2011). In Proceedings of the 5th ACM conference on Recommender systems, RecSys 2011, New York, NY, USA, 2011. ACM.
3. P. Geurts, D. Ernst, and L. Wehenkel. Extremely randomized trees. Machine learning, 63(1):3--42, 2006.
4. M. Latapy, C. Magnien, and N. Del Vecchio. Basic notions for the analysis of large two-mode networks. Social Networks, 30(1):31--48, 2008.
5. Q. Li and B. M. Kim. Constructing user profiles for collaborative recommender system. In Advanced Web Technologies and Applications, pages 100--110. Springer, 2004.
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