Topic-specific Analysis of search queries

Proceedings of Workshop on Web Search Click Data, WSCD'09

Volumn , Issue , 2009, Pages 35-42

  Bar Ilan, Judit ^a   Zhu, Zheng ^b   Levene, Mark ^b  

^a BAR ILAN UNIVERSITY   (Israel)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; LOG DATA; QUERY LENGTHS; SEARCH QUERIES; WEB SEARCHES;

INFORMATION RETRIEVAL; ONTOLOGY; SEARCH ENGINES;

WORLD WIDE WEB;

EID: 67650097035     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1507509.1507515     Document Type: Conference Paper

References (8)

1. Bar-Ilan, J., Keenoy, K., Levene, M., and Yaari, E. Presentation bias is significant in determining user preference for search results - A user study. Journal of the American Society for Information Science and Technology (no date). DOI: 10.1002/asi.20941
2. Beitzel, S.M., Jensen, E.C., Frieder, O., Lewis, D.D., Chowdhury, A., and Kolcz, A.: Improving automatic query classification via semi-supervised learning. In: Proceedings of the Fifth IEEE International Conference on Data Mining, Washington, DC, USA, IEEE Computer Society (2005), pp. 42-49. (Pubitemid 47385675)
3. Bekkerman, R., and Allan, J. Using Bigrams in Text Categorization. CIIR Technical Report, University of Massachusetts at Amherst, 2004
4. Jansen, B. J. Search log analysis: What it is, what's been done and how to do it. Library and Information Science Research, 28 (2006), 407-432. (Pubitemid 44437776)
5. Mladenic, D., and Globelnik, M.: Word sequences as features in text learning. In: Proceedings of the 17th Electrotechnical and Computer Science Conference (ERK98). (1998), pp. 145-148.
6. Spink, A. & Jansen, B. J. Web search: Public searching of the Web. Kluwer (2004).
7. Zhang, Y., and Moffat, A. Some observations on user search behavior. In Proceedings of the 11th Australian Document Computing Symposium (Brisbane, Australia, December, 2006)
8. Zhu, Z., Cox, I.J., and Levene M.: Query Classification Enrichment using Search Engine Snippets and Related Concepts. In preparation