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Article: An intelligent internet information delivery system to evaluate site preferences

TitleAn intelligent internet information delivery system to evaluate site preferences
Authors
KeywordsFuzzy logic
Interest level
Information delivery system
Internet technology
Site preference
Issue Date2000
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems with Applications, 2000, v. 18 n. 1, p. 33-42 How to Cite?
AbstractDue to the continual growth of the popularity of the Internet, commercial as well as industrial companies have been advertising their products and services via the Web, resulting in a drastic increase in the number of Web sites. With a huge amount of information available on various Web sites, it is important that the relevant and useful information favored by individual visitors is delivered to the destinations in a timely manner. The two traditional approaches for sorting web information including search engines and hierarchical indices require specific input by the visitors who may not have any specific favorite sites in mind. In most cases, site surfers are just “window-shopping” on the Internet, looking for “exciting” things. This paper proposes the development of an Intelligent Internet Information Delivery System (IIIDS) which is characterized by its machine learning capability based on the data of site spots “movements” by the users within the Web pages and then evaluates the site preferences of the relevant users by means of fuzzy logic principle. The development of IIIDS and the test of a prototype to evaluate its feasibility are covered in this paper.
Persistent Identifierhttp://hdl.handle.net/10722/74620
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839

 

DC FieldValueLanguage
dc.contributor.authorIp, RWL-
dc.contributor.authorLau, HCW-
dc.contributor.authorChan, FTS-
dc.date.accessioned2010-09-06T07:03:08Z-
dc.date.available2010-09-06T07:03:08Z-
dc.date.issued2000-
dc.identifier.citationExpert Systems with Applications, 2000, v. 18 n. 1, p. 33-42-
dc.identifier.issn0957-4174-
dc.identifier.urihttp://hdl.handle.net/10722/74620-
dc.description.abstractDue to the continual growth of the popularity of the Internet, commercial as well as industrial companies have been advertising their products and services via the Web, resulting in a drastic increase in the number of Web sites. With a huge amount of information available on various Web sites, it is important that the relevant and useful information favored by individual visitors is delivered to the destinations in a timely manner. The two traditional approaches for sorting web information including search engines and hierarchical indices require specific input by the visitors who may not have any specific favorite sites in mind. In most cases, site surfers are just “window-shopping” on the Internet, looking for “exciting” things. This paper proposes the development of an Intelligent Internet Information Delivery System (IIIDS) which is characterized by its machine learning capability based on the data of site spots “movements” by the users within the Web pages and then evaluates the site preferences of the relevant users by means of fuzzy logic principle. The development of IIIDS and the test of a prototype to evaluate its feasibility are covered in this paper.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa-
dc.relation.ispartofExpert Systems with Applications-
dc.rights© <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectFuzzy logic-
dc.subjectInterest level-
dc.subjectInformation delivery system-
dc.subjectInternet technology-
dc.subjectSite preference-
dc.titleAn intelligent internet information delivery system to evaluate site preferences-
dc.typeArticle-
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hk-
dc.identifier.authorityChan, FTS=rp00090-
dc.identifier.doi10.1016/S0957-4174(99)00048-2-
dc.identifier.hkuros54987-
dc.identifier.volume18-
dc.identifier.issue1-
dc.identifier.spage33-
dc.identifier.epage42-
dc.publisher.placeUnited Kingdom-

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