Adaptive Web Sites: Automatically Synthesizing Web Pages

Adaptive Web Sites: Automatically Synthesizing Web Pages (1998)

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by Mike Perkowitz , Oren Etzioni

Venue:	IN PROCEEDINGS OF THE FIFTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE
Citations:	119 - 2 self

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Datum	Value	Source
TITLE	Adaptive Web Sites: Automatically Synthesizing Web Pages	user correction - Legacy Corrections
AUTHOR NAME	Mike Perkowitz	user correction
AUTHOR AFFIL	Department of Computer Science and Engineering	user correction
AUTHOR ADDR	Box 352350	user correction
AUTHOR NAME	Oren Etzioni	user correction
AUTHOR AFFIL	Department of Computer Science and Engineering	user correction
AUTHOR ADDR	Box 352350	user correction
ABSTRACT	The creation of a complex web site is a thorny problem in user interface design. In IJCAI '97, we challenged the AI community to address this problem by creating adaptive web sites: sites that automatically improve their organization and presentation by mining visitor access data collected in Web server logs. In this paper weintroduce our own approach to this broad challenge. Specifically, we investigate the problem of index page synthesis --- the automatic creation of pages that facilitate a visitor's navigation of a Web site. First, we formalize this problem as a clustering problem and introduce a novel approach to clustering, which we call cluster mining: Instead of attempting to partition the entire data space into disjoint clusters, we search for a small number of cohesive (and possibly overlapping) clusters. Next, we present PageGather, a cluster mining algorithm that takes Web server logs as input and outputs the contents of candidate index pages. Finally, we show experime...	user correction
YEAR	1998	INFERENCE
VENUE	IN PROCEEDINGS OF THE FIFTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE	user correction
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	727--732	INFERENCE
CITATIONS	12 found	ParsCit 1.0