Acquisition and Maintenance of Knowledge for Online Navigation Suggestions
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.5 pp.993-1003
- Publication Date
- 2005/05/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.5.993
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence and Cognitive Science
Authors
Keyword
Latest Issue
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Juan D. VELASQUEZ, Richard WEBER, Hiroshi YASUDA, Terumasa AOKI, "Acquisition and Maintenance of Knowledge for Online Navigation Suggestions" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 5, pp. 993-1003, May 2005, doi: 10.1093/ietisy/e88-d.5.993.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.5.993/_p
Copy
@ARTICLE{e88-d_5_993,
author={Juan D. VELASQUEZ, Richard WEBER, Hiroshi YASUDA, Terumasa AOKI, },
journal={IEICE TRANSACTIONS on Information},
title={Acquisition and Maintenance of Knowledge for Online Navigation Suggestions},
year={2005},
volume={E88-D},
number={5},
pages={993-1003},
abstract={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.},
keywords={},
doi={10.1093/ietisy/e88-d.5.993},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Acquisition and Maintenance of Knowledge for Online Navigation Suggestions
T2 - IEICE TRANSACTIONS on Information
SP - 993
EP - 1003
AU - Juan D. VELASQUEZ
AU - Richard WEBER
AU - Hiroshi YASUDA
AU - Terumasa AOKI
PY - 2005
DO - 10.1093/ietisy/e88-d.5.993
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2005
AB - 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.
ER -
English
