Gazpacho and summer rash: Lexical relationships from temporal patterns of web search queries

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009

Volumn , Issue , 2009, Pages 1046-1055

  Alfonseca, Enrique ^a   Ciaramita, Massimiliano ^a   Hall, Keith ^a  

^a GOOGLE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTIONAL SIMILARITIES; QUERY SUGGESTION; SIMILARITY MEASURE; SPECIFIC SEMANTICS; STATE-OF-THE-ART PERFORMANCE; TEMPORAL PATTERN; TEMPORAL PROFILE; WEB SEARCH QUERIES;

COMPUTATIONAL LINGUISTICS; CONTENT BASED RETRIEVAL; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; USER INTERFACES;

WORLD WIDE WEB;

EID: 80053426760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. R. Agrawal, C. Faloutsos, and A.N. Swami. 1993. Efficient similarity search in sequence databases. In Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms, pages 69-84.
2. E. Alfonseca, K. Hall, and S. Hartmann. 2009. Large-scale computation of distributional similarities for queries. In Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies conference.
3. N. Bansal and N. Koudas. 2007a. BlogScope: a system for online analysis of high volume text streams. In Proceedings of the 33rd international conference on Very large data bases, pages 1410-1413.
4. N. Bansal and N. Koudas. 2007b. BlogScope: Spatiotemporal analysis of the blogosphere. In Proceedings of the 16th international conference on World Wide Web, pages 1269-1270.
5. D. Beeferman and A. Berger. 2000. Agglomerative clustering of a search engine query log. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 407-416.
6. S. Chien. 2005. Semantic similarity between search engine queries using temporal correlation. In Proceedings of the 14th international conference on World Wide Web, pages 2-11.
7. K. Crammer and Y. Singer. 2003. Ultraconservative online algorithms for multiclass problems. Journal of Machine Learning Research, 3:951-991.
8. S. Cucerzan and R.W. White. 2007. Query suggestion based on user landing pages. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 875-876.
9. Y. Freund and R.E. Schapire. 1999. Large margin classification using the perceptron algorithm. Machine Learning, 37:277-296.
10. J. Ginsberg, M.H. Mohebbi, R.S. Patel, L. Brammer, M.S. Smolinski, and L. Brilliant. 2009. Detecting influenza epidemics using search engine query data. Nature, 457, February.
11. R. Jones and F. Diaz. 2007. Temporal profiles of queries. ACM Transactions on Information Systems, 25(3):14.
12. R. Jones, B. Rey, O. Madani, and W. Greiner. 2006. Generating query substitutions. In Proceedings of the 15th international conference on World Wide Web, pages 387-396.
13. J. Kleinberg. 2006. Temporal dynamics of on-line information streams. In Data Stream Management: Processing High-Speed Data. Springer.
14. R. Kraft and J. Zien. 2004. Mining anchor text for query refinement. In Proceedings of the 13th international conference on World Wide Web, pages 666-674.
15. Y. Li, Z. Zheng, and H. Dai. 2005. KDD Cup-2005 report: Facing a grat challenge. SIGKDD Explor. Newsl., 7(2):91-99.
16. D. Lin and X. Wu. 2009. Phrase clustering for discriminative learning. In Proceedings of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing.
17. O. Medelyan, C. Legg, D. Milne, and I.H. Witten. 2008. Mining meaning from Wikipedia. Dept. of Computer Science, University of Waikato.
18. Q. Mei, D. Zhou, and K. Church. 2008. Query suggestion using hitting time. In Proceeding of the 17th ACM conference on Information and knowledge management, pages 469-478.
19. G.A. Miller. 1995. WordNet: a lexical database for English. Communications of the ACM, 38(11):39-41.
20. T. Murata. 2008. Detection of breaking news from online web search queries. New Generation Computing, 26(1):63-73.
21. M. Sahami and T.D. Heilman. 2006. A web-based kernel function for measuring the similarity of short text snippets. In Proceedings of the 15th international conference on World Wide Web, pages 377-386.
22. E. Terra and C.L.A. Clarke. 2004. Scoring missing terms in information retrieval tasks. In Proceedings of the thirteenth ACM international conference on Information and knowledge management, pages 50-58.
23. D.S. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, and M. Skinner. 2008. Intelligence in Wikipedia. In Proceedings of the 23rd Conference on Artificial Intelligence.
24. Y. Wu, D. Agrawal, and A. El Abbadi. 2000. A comparison of DFT and DWT based similarity search in time-series databases. In Proceedings of the 9th International ACM Conference on Information and Knowledge Management, pages 488-495.
25. W. Yih and C. Meek. 2008. Consistent Phrase Relevance Measures. Workshop on Data Mining and Audience Intelligence for Advertising, page 37.
26. T. Zesch, C. Muller, and I. Gurevych. 2008a. Extracting lexical semantic knowledge from Wikipedia and Wiktionary. In Proceedings of the Conference on Language Resources and Evaluation.
27. T. Zesch, C. Muller, and I. Gurevych. 2008b. Using Wiktionary for computing semantic relatedness. In Proceedings of the Conference on Artificial Intelligence, pages 861-867.