Abstract
The purpose of this paper is to deal with Web query categorization problem. It will present a feasible approach to categorizing Web query terms into pre-defiued subject categories based on their supposed search interests. With the approach, a successful of application that can filter out user’s sensitive queries Ruth as pornographic-related terms in multimedia search will be introduced.
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References
D. Beeferman and A. Berger. Agglolaerative clustering of a search engine query log. In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 107–116, 2000.
G. W. Pumas, S. Deerwester, S. T. Dumais, T. K. Landauer, R. A. Harshman, L. A. Streetet, and K. E. Lochbaum. Information retrieval using a singular value decomposition model of latent semantic structure. In Proceedings of the 11th ACM International Conference on Research and Development in Information Retrieval (SIGIR’88), pages 465–480, 1988.
R. Mandala, T. Tokunaga, and H. Tanaka. Combining multiple evidence from different types of thesaurus far query expansion. In Proceedings of the 22th ACM International Conference on Research and Development in Information Retrieval (SIGIR’99), pages 191–197, 1999.
M. Sanderson and B. Goof. Deriving concept hierarchies from text. In Proceedings of the 22th ACM International Conference on Research and Development in Information Retrieval (SIGIR’99), pages 206–213, 1999.
C. Silverstein, M. Henninger, H. Marais, and M. Moricz. Analysis of a very large altavista query log. DEC SRC Technical Note, 1998.
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© 2001 Springer-Verlag Berlin Heidelberg
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Chuang, SL., Chien, LF., Pu, HT. (2001). Automatic Subject Categorization of Query Terms for Filtering Sensitive Queries in Multimedia Search. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_106
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DOI: https://doi.org/10.1007/3-540-45453-5_106
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