NaviMoz: Mining navigational patterns in portal catalogs

Christodoulou, E; Dalamagas, T; Sellis, T

dc.contributor.author	Christodoulou, E	en
dc.contributor.author	Dalamagas, T	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:44:07Z
dc.date.available	2014-03-01T02:44:07Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31687
dc.subject	Satisfiability	en
dc.subject	User Needs	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Navigation retrieval methods	en
dc.subject.other	Navigational patterns	en
dc.subject.other	Portal catalogs	en
dc.subject.other	User navigational patterns	en
dc.subject.other	Data mining	en
dc.subject.other	Data reduction	en
dc.subject.other	Information retrieval	en
dc.subject.other	Navigation systems	en
dc.subject.other	Query languages	en
dc.subject.other	World Wide Web	en
dc.subject.other	Portals	en
dc.title	NaviMoz: Mining navigational patterns in portal catalogs	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11896548_60	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11896548_60	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Portal Catalogs is a popular means of searching for information on the Web. They provide querying and browsing capabilities on data organized in a hierarchy, on a category/subcategory basis. This paper presents mining techniques on user navigational patterns in the hierarchies of portal catalogs. Specifically, we study and implement navigation retrieval methods and clustering tasks based on navigational patterns. The above mining tasks are quite useful for portal administrators, since they can be used to observe users' behavior, extract personal preferences and re-organize the structure of the portal to satisfy better user needs and navigational habits. These mining tasks have been implemented in the NaviMoz, a prototype system for mining navigational patterns in portal catalogs. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11896548_60	en
dc.identifier.isi	ISI:000241726200060	en
dc.identifier.volume	4254 LNCS	en
dc.identifier.spage	801	en
dc.identifier.epage	813	en