Understanding temporal query dynamics

Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011

Volumn , Issue , 2011, Pages 167-176

  Kulkarni, Anagha ^a   Teevan, Jaime ^b   Svore, Krysta M ^b   Dumais, Susan T ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Query dynamics

Indexed keywords

NEW YORK TIME; QUERY DYNAMICS; QUERY LOGS; RELEVANCE JUDGMENT; SEISMIC ACTIVITY; TEMPORAL QUERIES; WEB SEARCHES; WIKIPEDIA; YOUTUBE;

DATA MINING; INFORMATION RETRIEVAL; SEARCH ENGINES; TEACHING; WEBSITES;

EARTHQUAKES;

EID: 79952374112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935862     Document Type: Conference Paper

References (28)

1. Adar, E., Teevan, J., Dumais, S. and Elsas, J. The Web changes everything: Understanding the dynamics of Web content. In Proceedings of WSDM 2009, 282-291.
2. Adar, E., Teevan, J. and Dumais, S. T. (2009). Resonance on the web: Web dynamics and revisitation patterns. In Proceedings of CHI 2009, 1381-1390.
3. Adar, E., Weld, D., Bershad, B., and Gribble, S. Why we search: Visualizing and predicting user behavior. In Proceedings of WWW 2007, 161-170. (Pubitemid 47582248)
4. Alfonseca, E., Ciaramita, M. and Hall, K. Gazpacho and summer rash: Lexical relationships from temporal patterns of Web search queries. In Proceedings of EMNLP 2009, 1046-1055.
5. Alonso, O. and Gertz, M. Clustering of search results using temporal attributes. In Proceedings of SIGIR 2006, 597-598.
6. Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D. and Frieder. Hourly analysis of a very large topically categorized Web query log. In Proceedings of SIGIR 2004, 321-328.
7. Beyer, H. and Holtzblatt, K. Contextual Design: Defining Customer-Centered Systems. Academic Press, 1998.
8. Chien, S. and Immorlica, N. Semantic similarity between search engine queries using temporal correlation. In Proceedings of WWW 2005, 2-11.
9. Cho, J., Roy, S. and Adams, R. E. Page quality: In search of an unbiased Web ranking. SIGMOD 2005, 551-562. (Pubitemid 43038957)
10. Dakka, W., Gravano, L. and Ipeirotis, P. G. Answering general time sensitive queries. In Proceedings of CIKM 2008, 1437-1438.
11. Diaz, F. Integration of news content into Web results. In Proceedings of WSDM 2009, 182-191.
12. Diaz, F. and Jones, R. Using temporal profiles of queries for precision prediction. In Proceedings of SIGIR 2004, 18-24.
13. Dong, A., Chang, Y., Zheng, Z., Mishne, G., Bai, J., Buchner, K., Zhang, R., Liao, C. and Diaz, F. Towards recency ranking in Web search. In Proceedings of WSDM 2010, 11-20.
14. Dou, Z, Song, R. and Wen J. A large-scale evaluation and analysis of personalized search strategies. In Proceedings of WWW 2007, 581-590. (Pubitemid 47582287)
15. Efron, M. Linear time series models for term weighting in information retrieval. JASIST, 67(7): 1299-1312, 2010.
16. Elsas, J. and Dumais, S. T. Leveraging temporal dynamics of document content in relevance ranking. In Proceedings of WSDM 2010, 1-10.
17. Fetterly, D., Manasse, M., Najork, M. and Wiener, J. A large-scale study of the evolution of Web pages. In Proceedings of WWW 2003, 669-678.
18. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S. and Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457, 1012-1014, February, 2009.
19. Jones, R. and Diaz, F. Temporal profiles of queries. TOIS 25(3), 2007.
20. Kleinberg, J. Bursty and hierarchical structure in streams. In Proceedings of KDD 2002, 91-101.
21. Kleinberg, J. Temporal dynamics of on-line information systems. In Data Stream Management: Processing High-Speed Data. Springer, 2006.
22. Li, X. and Croft, W. B. Time-based language models. In Proceedings of CIKM 2003, 469-476.
23. Ntoulas, A., Cho, J. and Olston, C. What's new on the Web? The evolution of the Web from a search engine perspective. In Proceedings of WWW 2004, 1-12. (Pubitemid 40752735)
24. Olston, C. and Pandey, S. Recrawl scheduling based on information longevity. In Proceedings of WWW2008, 437-446.
25. Teevan, J., Dumais, S.T. and Liebling, D.J. To personalize or not to personalize: Modeling queries with variation in user intent. In Proceedings of SIGIR 2008, 163-170.
26. Vlachos, M., Meek, C., Vagena, Z. and Gunopulos, D. Identifying similarities, periodicities and bursts for online search queries. In Proceedings of SIGMOD 2004, 131-142.
27. Wang, S., Berry, M. W. and Yang, Y. Mining longitudinal Web queries: Trends and patterns. JASIST, 54(8): 743-758, 2003.
28. Zhang, R., Chang, Y., Zheng, Z., Metzler, D. and Nie, J.-Y. Search result re-ranking by feedback control adjustment for time-sensitive query. In Proceedings of NAACL 2009, 165-168