A layered approach to revisitation prediction

Papadakis, G; Kawase, R; Herder, E; Niederee, C

dc.contributor.author	Papadakis, G	en
dc.contributor.author	Kawase, R	en
dc.contributor.author	Herder, E	en
dc.contributor.author	Niederee, C	en
dc.date.accessioned	2014-03-01T02:52:50Z
dc.date.available	2014-03-01T02:52:50Z
dc.date.issued	2011	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36100
dc.subject.other	Data sets	en
dc.subject.other	Experimental evaluation	en
dc.subject.other	Revisitation	en
dc.subject.other	Second layer	en
dc.subject.other	Three-layer	en
dc.subject.other	Computer architecture	en
dc.subject.other	Data processing	en
dc.subject.other	World Wide Web	en
dc.subject.other	User interfaces	en
dc.title	A layered approach to revisitation prediction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-22233-7_18	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-22233-7_18	en
heal.publicationDate	2011	en
heal.abstract	Web browser users return to Web pages for various reasons. Apart from pages visited due to backtracking, they typically have a number of favorite/important pages that they monitor or tasks that reoccur on an infrequent basis. In this paper, we introduce the architecture of a system that facilitates revisitations through the effective prediction of the next page request. It consists of three layers, each dealing with a specific aspect of revisitation patterns: the first one estimates the value of each page by balancing the recency and the frequency of its requests; the second one captures the contextual regularities in users' navigational activity in order to promote related pages, and the third one dynamically adapts the page associations of the second layer to the constant drift in the interests of users. For each layer, we introduce several methods, and evaluate them over a large, real-world dataset. The outcomes of our experimental evaluation suggest a significant improvement over other methods typically used in this context. © 2011 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-22233-7_18	en
dc.identifier.volume	6757 LNCS	en
dc.identifier.spage	258	en
dc.identifier.epage	273	en