Cluster ensembles in collaborative filtering recommendation

Applied Soft Computing Journal

Volumn 12, Issue 4, 2012, Pages 1417-1425

  Tsai, Chih Fong ^a   Hung, Chihli ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Cluster ensembles; Collaborative filtering; k Means; Recommender systems; Self organizing maps

Indexed keywords

AXIAL FLOW; CLUSTER ANALYSIS; CONFORMAL MAPPING; RECOMMENDER SYSTEMS; SELF ORGANIZING MAPS;

CLUSTER ENSEMBLES; COLLABORATIVE FILTERING RECOMMENDATIONS; COLLABORATIVE FILTERING TECHNIQUES; K-MEANS; RECOMMENDATION ACCURACY; RECOMMENDATION PERFORMANCE; RECOMMENDATION TECHNIQUES; STATISTICALLY SIGNIFICANT DIFFERENCE;

COLLABORATIVE FILTERING;

EID: 84857122466     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.11.016     Document Type: Article

References (31)

1. P. Resnick, and H.R. Varian Recommender systems Communications of the ACM 40 March (3) 1997 56 58 (Pubitemid 127441130)
2. J.B. Schafer, J. Konstan, and J. Riedi Recommender systems in e-commerce Proceedings of the ACM Conference on Electronic Commerce Denver, Colorado 1999 158 166
3. B.M. Sarwar, G. Karypis, J.A. Konstan, and J. Riedl Item-based collaborative filtering recommendation algorithms Proceedings of the 10th International Conference on World Wide Web Hong Kong 2001 285 295
4. S. Perugini, M.A. Gonalves, and E.A. Fox Recommender systems research: a connection-centric survey Journal of Intelligent Information Systems 23 2 2004 107 143
5. R.J. Mooney, and L. Roy Content-based book recommending using learning for text categorization Proceedings of the 5th ACM Conference on Digital Libraries San Antonio, Texas 2000 195 204
6. J.A. Konstan, B.N. Miller, D. Maltz, J.L. Herlocker, L.R. Gordon, and J. Riedl GroupLens: applying collaborative filtering to usenet news Communications of the ACM 40 3 1997 77 87 (Pubitemid 127441134)
7. A. Strehl, and J. Ghosh Cluster ensembles - a knowledge reuse framework for combining multiple partitions Journal on Machine Learning Research 3 2002 583 618
8. Z.-H. Zhou, and W. Tang Cluster ensemble Knowledge-Based Systems 19 1 2006 77 83
9. B.N. Miller, I. Albert, S.K. Lam, J.A. Konstan, and J. Riedl MovieLens unplugged: experiences with a recommender system on four mobile devices Proceedings of the 8th International Conference on Intelligent User Interfaces Miami, Florida 2003 263 266
10. J.L. Herlocker, J.A. Konstan, A. Borchers, and J. Ridel An algorithmic framework for performing collaborative filtering Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval Berkeley, California 1999 230 237
11. B.M. Sarwar, G. Karypis, J.A. Konstan, and J. Riedl Analysis of recommendation algorithms for e-commerce Proceedings of the 2nd ACM Conference on Electronic Commerce Minneapolis, Minnesota 2000 158 167
12. A.K. Jain, M.N. Murty, and P.J. Flynn Data clustering: a review ACM Computing Survey 31 3 1999 264 323
13. T. Kohonen Self-Organizing Maps 3rd ed. 2000 Springer
14. J.A. Hartigan, and M.A. Wong A k-means clustering algorithm Applied Statistics 28 1 1979 100 108
15. M. David An example inference task: clustering Information theory, inference and learning algorithms 2003 Cambridge University Press (Chapter 20)
16. Q. Li, and B.M. Kim Clustering approach for hybrid recommender system Proceedings of the International Conference on Web Intelligence Halifax, Canada 2003 33 38
17. T.-H. Roh, K.-J. Oh, and I. H The collaborative filtering recommendation based on SOM cluster-indexing CBR Expert Systems with Applications 25 3 2003 413 423
18. D.-R. Liu, and Y.-Y. Shih Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences Journal of Systems and Software 77 2 2005 181 191 (Pubitemid 40612686)
19. C. Christakou, L. Lefakis, S. Vrettos, and A. Stafylopatis A movie recommender system based on semi-supervised clustering Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation Vienna, Austria 2005 897 903
20. K.-j. Kim, and H. Ahn A recommender system using GA k-means clustering in an online shopping market Expert Systems with Applications 34 2007 1200 1209
21. A.P. Topchy, M.H.C. Law, A.K. Jain, and A.L. Fred Analysis of consensus partition in cluster ensemble Proceedings of the 4th IEEE International Conference on Data Mining Brighton, UK 2004 225 232 (Pubitemid 40731035)
22. M. Al-Razgan, C. Domeniconi, and D. Barbara Random subspace ensembles for clustering categorical data O. Okun, G. Valentini, In Supervised and Unsupervised Ensemble Methods and their Applications 2008 Springer
23. B. Minaei-Bidgoli, A. Topchy, and W.F. Punch Ensembles of partitions via data resampling Proceedings of the International Conference on Information Technology: Coding and Computing Las Vegas, Nevada 2004 188 192
24. A.L.N. Fred, and A.K. Jain Data clustering using evidence accumulation Proceedings of the 16th International Conference on Pattern Recognition Quebec, Canada 2002 276 280 (Pubitemid 44850998)
25. G. Karypis, and V. Kumar A fast and high quality multilevel scheme for partitioning irregular graphs SIAM Journal on Scientific Computing 20 1 1998 359 392 (Pubitemid 128689516)
26. G. Karypis, R. Aggarwal, V. Kumar, and S. Shekhar Multilevel hypergraph partitioning: applications in VLSI domain IEEE Transactions on Very Large Scale Integration Systems 7 1 1999 69 79
27. H. Luo, F. Jing, and X. Xie Combining multiple clusterings using information theory based genetic algorithm Proceedings of the International Conference on Computational Intelligence and Security Guangzhou, China 2006 84 89
28. J. Kittler, M. Hatef, R.P.W. Duin, and J. Matas On combining classifiers IEEE Transactions on Pattern Analysis and Machine Intelligence 20 3 1998 226 239 (Pubitemid 128741312)
29. R. Kohavi A study of cross-validation and bootstrap for accuracy estimation and model selection Proceedings of the International Joint Conference on Artificial Intelligence Montréal, Québec, Canada 1995 1137 1143
30. J. Demšar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30 (Pubitemid 43022939)
31. B.Y. Richard, and R.N. Berthier Modern Information Retrieval 1999 Addison Wesley