An efficient approach to suggesting topically related web queries using hidden topic model-Reference-Cited by-同舟云学术

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An efficient approach to suggesting topically related web queries using hidden topic model

Published:2012-01-26 Issue:3 Volume:16 Page:273-297
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Li Lin,Xu Guandong,Yang Zhenglu,Dolog Peter,Zhang Yanchun,Kitsuregawa Masaru

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s11280-011-0151-3.pdf

Reference46 articles.

1. Baeza-Yates, R.A., Hurtado, C.A., Mendoza, M.: Improving search engines by query clustering. J. Am. Soc. Inf. Sci. Technol. 58(12), 1793–1804 (2007)

2. Balfe, E., Smyth, B.: An analysis of query similarity in collaborative Web search. In: Advances in Information Retrieval, 27th European Conference on IR Research, (ECIR’05), pp. 330–344. Santiago de Compostela, Spain (2005)

3. Bayardo, R.J., Ma, Y., Srikant, R.: Scaling up all pairs similarity search. In: Proceedings of the 16th International Conference on World Wide Web (WWW’07), pp. 131–140. Banff, Alberta, Canada (2007)

4. Beeferman, D., Berger, A.L.: Agglomerative clustering of a search engine query log. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’00), pp. 407–416. Boston, MA (2000)

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

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