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.
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1 December 2002
This article was originally published in
Information Management & Computer Security
Literature Review|
December 01 2002
Integrating search engines with data mining for customer‐oriented information search
Tim France;
Tim France
Department of Decision Sciences and MIS, Miami University, Oxford, Ohio, USA
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Dave Yen;
Dave Yen
Department of Decision Sciences and MIS, Miami University, Oxford, Ohio, USA
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Jyun‐Cheng Wang;
Jyun‐Cheng Wang
Department of Information Management, National Chung Cheng University, Chia‐Yi, Taiwan, ROC
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Chia‐Ming Chang
Chia‐Ming Chang
Department of Information Management, National Chung Cheng University, Chia‐Yi, Taiwan, ROC
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Publisher: Emerald Publishing
Online ISSN: 1758-5805
Print ISSN: 0968-5227
© MCB UP Limited
2002
Information Management & Computer Security (2002) 10 (5): 242–254.
Citation
France T, Yen D, Wang J, 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, doi: https://doi.org/10.1108/09685220210446597
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