MRSSA: An iterative algorithm for similarity spreading over interrelated objects

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2004, Pages 240-241

  Xue, Gui Rong ^a   Zeng, Hua Jun ^b   Chen, Zheng ^b   Yu, Yong ^a   Ma, Wei Ying ^b   Xi, WenSi ^c   Fox, Edward ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Interrelated; Mutual Reinforcement; Similarity Spreading

Indexed keywords

COMPUTATIONAL METHODS; INFORMATION ANALYSIS; ITERATIVE METHODS; LINEAR EQUATIONS; MATHEMATICAL TECHNIQUES; MATRIX ALGEBRA; WORLD WIDE WEB;

INTERRELATED; MULTIPLE RELATIONSHIP SIMILARITY SPREADING ALGORITHM (MRSSA); MUTUAL REINFORCEMENT; SIMILARITY SPREADING;

ALGORITHMS;

EID: 18744412141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. J. D. Wang, H. J. Zeng, Z. Chen, H. J. Lu, L. Tao, and W.-Y Ma. ReCoM: reinforcement clustering of multi-type interrelated data objects. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, pages 274-281, Toronto, CA, July 2003.
2. J. Dean and M. R. Henzinger, Finding Related Pages in the World Wide Web, WWW8, 1999.
3. Google: http://www.google.com