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Integrating search engines with data mining for customer‐oriented information search

Tim France (Department of Decision Sciences and MIS, Miami University, Oxford, Ohio, USA)
Dave Yen (Department of Decision Sciences and MIS, Miami University, Oxford, Ohio, USA)
Jyun‐Cheng Wang (Department of Information Management, National Chung Cheng University, Chia‐Yi, Taiwan, ROC)
Chia‐Ming Chang (Department of Information Management, National Chung Cheng University, Chia‐Yi, Taiwan, ROC)

Information Management & Computer Security

ISSN: 0968-5227

Article publication date: 1 December 2002

5333

Abstract

In recent years, the World Wide Web (WWW) has become incredibly popular in homes and offices alike. Consumers need to search for relevant information to help solve purchasing problems on various Web sites. Although there is no question that great numbers of WWW users will continue using search engines for information retrieval, consumers still hesitate before making a final decision, often because only rough and limited information about the products is made available. Consequently, consumers need the help of data mining in order to help them make informed decisions. Herein we propose a new approach to integrating a search engine with data mining in an effort to help support customer‐oriented information search action. This approach also illustrates how to reduce the consumer’s information search perplexity.

Keywords

Citation

France, T., Yen, D., Wang, J. and Chang, C. (2002), "Integrating search engines with data mining for customer‐oriented information search", Information Management & Computer Security, Vol. 10 No. 5, pp. 242-254. https://doi.org/10.1108/09685220210446597

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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