Multi-view random walk framework for search task discovery from click-through log

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 135-140

  Cui, Jianwei ^a   Liu, Hongyan ^b   Yan, Jun ^c   Ji, Lei ^c   Jin, Ruoming ^d   He, Jun ^a   Gu, Yingqin ^a   Chen, Zheng ^c   Du, Xiaoyong ^a  

^a RENMIN UNIVERSITY OF CHINA   (China)

^b TSINGHUA UNIVERSITY   (China)

^c MICROSOFT RESEARCH ASIA   (China)

^d KENT STATE UNIVERSITY   (United States)

Author keywords

multi view random walk; query clustering; search task

Indexed keywords

MULTI-VIEWS; NUMBER OF SERVICES; QUERY CLUSTERING; RANDOM WALK; RANDOM WALK PROCESS; SEARCH QUERIES; SEARCH TASKS;

ALGORITHMS; KNOWLEDGE MANAGEMENT; SEARCH ENGINES;

RANDOM PROCESSES;

EID: 83055168246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063600     Document Type: Conference Paper

References (17)

1. Sadikov, E., Madhavan, J., Wang, L., and Halevy, A. 2010. Clustering query refinements by user intent. In WWW '10.
2. Sandler, T., Ungar, L. and Crammer K. Resolving Identity Uncertainty with Learned Random Walks. ICDM 2009.
3. Reed, W-J. The Pareto, Zipf and other power laws. Economics Letters, 74(1):15-19, December 2001.
4. Xu, G., Yang, S., and Li, H. 2009. Named entity mining from click-through data using weakly supervised latent dirichlet allocation. In SIGKDD 2009. 1365-1374
5. Cheng, Z., Gao, B., and Liu, T. 2010. Actively predicting diverse search intent from user browsing behaviors. In WWW '10. 221-230.
6. White, R. W., Bilenko, M., and Cucerzan, S. 2007. Studying the use of popular destinations to enhance web search interaction. In SIGIR '07. 159-166.
7. Cui, J., Liu, H., He, J., Li, P., Du, X-Y and Wang, P. TagClus: a random walk-based method for tag clustering. In Knowledge and Information Systems Journal. 13 June, 2010.
8. A. Broder : A taxonomy of web search. SIGIR Forum 2002.
9. Lee, U., Liu, Z., and Cho, J. 2005. Automatic identification of user goals in Web search. In WWW 2005.
10. Rose, D. E. and Levinson, D. 2004. Understanding user goals in web search. In WWW 2004. 13-19.
11. Shen, D., Sun, J., Yang, Q., and Chen, Z. 2006. Building bridges for web query classification. In SIGIR 2006.131-138.
12. Hu, J., Wang, G., Lochovsky, F., Sun, J., and Chen, Z. 2009. Understanding user's query intent with wikipedia. In WWW 2009. 471-480.
13. Yin, X. and Shah, S. 2010. Building taxonomy of web search intents for name entity queries. In WWW 2010. 1001-1010.
14. Zhou. D., Burges, CJ. C. 2007. Spectral clustering and transductive learning with multiple views. ICML 2007
15. Minkov, E. and Cohen, W. W. 2008. Learning graph walk based similarity measures for parsed text. ACL 2008
16. Chuang, S-L., Chien, L-F. 2002. Towards automatic generation of query taxonomy: a hierarchical query clustering approach. In ICDM 2002. 75-82.
17. Ilaria Bordino, Carlos Castillo, Debora Donato, and Aristides Gionis. 2010. Query similarity by projecting the query-flow graph. In SIGIR 2010. 515-522.