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FENG Liang, SHA Chao-feng. Query analysis for search engine in E-commerce Web sites[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 79-83,105.
Citation:
FENG Liang, SHA Chao-feng. Query analysis for search engine in E-commerce Web sites[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 79-83,105.
FENG Liang, SHA Chao-feng. Query analysis for search engine in E-commerce Web sites[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 79-83,105.
Citation:
FENG Liang, SHA Chao-feng. Query analysis for search engine in E-commerce Web sites[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 79-83,105.
In most E-commerce web sites, key word search is an important way for users to find commodities, and calculation of the term weights is a major step for search engine to process queries. In order to overcome the shortness of existing methods in calculation of term weights in query processing, this paper proposed a new method, which combines importance with relevance of terms when calculating term weights. It effectively improves the correctness of the determination of the term weights, and is practical and reliable.
[1] JONES K S, WALKER S, ROBERTSON S E. A probabilistic model of information retrieval: development and comparative experiments [J]. Information Processing and Management, 36(6): 779-808.[2] PONTE J M, CROFT W B. A language modeling approach to information retrieval[C]//Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. 1998: 275-281. [3] AGRAWAL R, SRIKANT R. Fast algorithms for mining association rules[C]//Proc 20th Int Conf VLDB, 1994:487-499.[4] TAN P N, STEINBACH M, KUMAR V. Introduction to Data Mining[M].[S.l.]:Addison-Wesleg. 2005.[5] SCOTT C D, SUSAN T D, THOMAS K L, et al. Indexing by latent semantic analysis[J]. Journal of the American Society for Information Science, 1990, 41(6): 391-407.