Learning to rank networked entities

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn 2006, Issue , 2006, Pages 14-23

  Agarwal, Alekh ^a   Chakrabarti, Soumen ^a   Aggarwal, Sunny ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Conductance; Maximum entropy; Network flow; Pagerank

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FEEDBACK; MARKOV PROCESSES; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION;

MAXIMUM ENTROPY; NETWORK FLOW; PAGERANK;

LEARNING SYSTEMS;

EID: 33749562561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1150402.1150409     Document Type: Conference Paper

References (24)

1. S. Agarwal, C. Cortes, and R. Herbrich, editors. Learning to Rank, NIPS Workshop, 2005.
2. K. Anywanwu, A. Maduko, and A. Sheth, SemRank: Ranking complex semantic relationship search results on the semantic Web. In WWW Conference, pages 117-127, Chiba, Japan, 2005.
3. A. Balmin, V. Hristidis, and Y. Papakonstantinou. Authority-based keyword queries in databases using ObjectRank. In VLDB, Toronto, 2004.
4. S. J. Benson and J. J. Moré. A limited memory variable metric method for bound constraint minimization. Technical Report ANL/MCS-P909-0901, Argonne National Laboratory, 2001.
5. G. Bhalotia, A. Hulgeri, C. Nakhe, S. Chakrabarti, and S. Sudarshan. Keyword searching and browsing in databases using BANKS. In ICDE. IEEE, 2002.
6. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW Conference, 1998.
7. D. Chakrabarti, Y. Zhan, and C. Faloutsos. R-MAT: A recursive model for graph mining. In ICDM. SIAM, 2004.
8. H. Chang, D. Cohn, and A. McCallum. Creating customized authority lists. In ICML, 2000.
9. W. W. Cohen, R. E. Shapire, and Y. Singer. Learning to order things;. JAIR, 10:243-270, 1999.
10. M. Diligenti, M. Gori, and M. Maggini. Learning Web page scores by error back-propagation. In IJCAI, 2005.
11. M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the internet topology. In SIGCOMM, pages 251-262, 1999.
12. L. Guo, F. Shao, C. Botev, and J. Shanmugasundaram. XRANK: Ranked keyword search over XML douments. In SIGMOD Conference, pages 16-27, 2003.
13. T. H. Haveliwala. Topic-sensitive PageRank. In WWW, pages 517-526, 2002.
14. R. Herbrich, T. Graepel, and K. Obermayer. Support vector learning for ordinal regression. In International Conference on Artificial Neural Networks, pages 97-102, 1999.
15. G. Jeh and J. Widom. Scaling personalized web search. In WWW Conference, pages 271-279, 2003.
16. T. Joachims. Optimizing search engines using clickthrough data. In SIGKDD Conference. ACM, 2002.
17. J. M. Kleinberg. Authoritative sources in a hyperlinked environment. JACM, 46(5):604-632, 1999.
18. NETRANK project home page. http://www.cse.iitb.ac,in/~soumen/doc/netrank, 2006.
19. Z. Nie, Y. Zhang, J.-R. Wen, and W.-Y. Ma. Object-level ranking: Bringing order to Web objects. In WWW Conference, pages 567-574, 2005.
20. M. Richardson and P. Domingos. The intelligent surfer: Probabilistic combination of link and content information in pagerank. In NIPS 14, pages 1441-1448, 2002.
21. G. Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, 1983.
22. J. A. Tomlin. A new paradigm for ranking pages on the world wide Web. In WWW Conference, pages 350-355, 2003.
23. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 6(Sep):1453-1484, 2005.
24. A. C. Tsoi, G. Morini, F. Scarselli, M. Hagenbuchner, and M. Maggini. Adaptive ranking of web pages. In WWW Conference, pages 356-365, 2003.