Acquisition and Maintenance of Knowledge for Online Navigation Suggestions(Artificial Intelligence and Cognitive Science)
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概要
- 論文の詳細を見る
The Internet has become an important medium for effective marketing and efficient operations for many institutions. Visitors of a particular web site leave behind valuable information on their preferences, requirements, and demands regarding the offered products and/or services. Understanding these requirements online, i.e., during a particular visit, is both a difficult technical challenge and a tremendous business opportunity. Web sites that can provide effective online navigation suggestions to their visitors can exploit the potential inherent in the data such visits generate every day. However, identifying, collecting, and maintaining the necessary knowledge that navigation suggestions are based on is far from trivial. We propose a methodology for acquiring and maintaining this knowledge efficiently using data mart and web mining technology. Its effectiveness has been shown in an application for a bank's web site.
- 社団法人電子情報通信学会の論文
- 2005-05-01
著者
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YASUDA Hiroshi
Research Center for Radiation Protection, National Institute of Radiological Sciences
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Weber Richard
Center For Collaborative Research University Of Tokyo
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Aoki Terumasa
The University Of Tokyo
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Aoki Terumasa
Research Center for Advanced Scienece and Technology The University of Tokyo
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VELASQUEZ Juan
Research Center for Advanced Science and Technology, University of Tokyo
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Velasquez Juan
Research Center For Advanced Science And Technology University Of Tokyo
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Aoki Terumasa
Research Center For Advanced Science And Technology University Of Tokyo
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Aoki Terumasa
Research Center For Advanced Science And Technology
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Yasuda Hiroshi
Research Center For Advanced Science And Technology The University Of Tokyo
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