Recommendation via query centered random walk on K-partite graph

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 457-462

  Cheng, Haibin ^a   Tan, Pang Ning ^a   Sticklen, Jon ^a   Punch, William F ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; K-PARTITE GRAPH; PERSONALIZED RECOMMENDATION; RANDOM WALKS; REAL DATA SETS; SUB GRAPHS; USER'S INTEREST;

ADMINISTRATIVE DATA PROCESSING; CHLORINE COMPOUNDS; DATA MINING; DECISION SUPPORT SYSTEMS; GRAPH THEORY; INFORMATION MANAGEMENT; MINING; SEARCH ENGINES;

RANDOM PROCESSES;

EID: 49749100044     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.8     Document Type: Conference Paper

References (12)

1. Chris Ding, Tao Li, Wei Peng, Haesun Park. Orthogonal Nonnegative Matrix Tri-factorizations for Clustering, Proc Int'l Conf. on Knowledge Discovery and Data Mining, August,2006.
2. Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, and Philip S. Yu. Unsupervised Learning on K-partite Graphs, Proc. ACM International Conference on Knowledge Discovery and Data Mining, ACM Press, Philadelphia, PA, USA, August, 2006.
3. Baeza-Yates, R. Ribeiro-Neta, B. Modern information retrieval. New York: ACM Press, 1999.
4. S.E. Robertson, S. Walker, M.M. Beaulieu, M. and Gatford, A. Payne. Okapi at TREC-4, In The Fourth Text Retrieval Conference (TREC-4), 1993.
5. Zhai, C. and Lafferty, J. Model-based feedback in the KL-divergence retrieval model, In Tenth International Conference on Information and Knowledge Management, pp. 403-410,2001.
6. Hersh WR, Buckley C, Leone TJ, Hickam DH, OHSUMED: An interactive retrieval evaluation and new large test collection for research Proceedings of the 17th Annual ACM SIGIR Conference, pp. 192-201, 1994.
7. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., and Riedl, J. GroupLens. An open architecture for collaborative filtering of netnews. In Proceedings of the ACM Conference on Computer-Supported Cooperative Work, Chapel Hill, NC,1994.
8. M. Gori and A. Pucci,ItemRank, A Random-Walk Based Scoring Algorithm for Recommender Engines, 20th International Joint Conference on Artificial Intelligences Hyderabd, India 2007.
9. Kendall, M. Rank Correlation Methods, Charles Griffin and Company Limited, 1948.
10. R. Bekkerman, R. El-Yaniv and A. McCallum. Multi-Way Distributional Clustering via Pairwise Interactions. In Proceedings of the 22nd International Conference on Machine Learning, pp.41-48, 2005.
11. M. Richardson and P. Domingos. The intelligent surfer: probabilistic combination of link and content information in PageRank. In Advances in Neural Information Processing Systems 14, pp. 1441-1448. Cambridge, MA: MIT Press, 2002.
12. Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch. Recommendation via Query Centered Random Walk on K-partite Graph, Technical Report, MSU-CSE-07-190.