Towards adaptive Web sites: conceptual framework and case study
Identifieur interne : 000E26 ( Main/Exploration ); précédent : 000E25; suivant : 000E27Towards adaptive Web sites: conceptual framework and case study
Auteurs : Mike Perkowitz [États-Unis] ; Oren Etzioni [États-Unis]Source :
- Computer Networks [ 1389-1286 ] ; 1999.
English descriptors
- Teeft :
- Access logs, Adaptive, Algorithm, Apriori, Apriori data mining algorithm, Association rules, Audio samples, Average visit percentage, Candidate clusters, Candidate link sets, Case study, Clique, Cluster, Cluster contents, Cluster mining, Computer science, Conf, Customization, Data mining, Design space, Elsevier science, Etzioni, Etzioni computer networks, Frequent sets, Future work, Graph algorithms, Graph representation, High quality clusters, Human judges, Human webmaster, Humanauthored index pages, Index page, Index page synthesis, Index page synthesis problem, Index pages, Information processing, Information retrieval, Intelligent user interfaces, Joint conf, Large databases, Large number, Links, Matrix, Maximal cliques, Mining association rules, Music machines, Nding clusters, Oren etzioni, Original design, Other hand, Other projects, Other users, Overlap, Overlap reduction, Page views, Pagegather, Pagegather algorithm, Pagegather link, Particular topic, Particular type, Perkowitz, Pgcc, Pgclique, Popular links, Presentation agent, Previous work, Proc, Quality threshold, Reduction step, Research interests, Server, Server logs, Several subproblems, Similar clusters, Similar tastes, Similarity matrix, Single session, Single visit, Small number, Sparse graph, Test data, Training data, Unlinked pages, User, User access patterns, User visits, Visit percentage, Visitor access patterns, Vldb conference, Webmaster, Webwatcher.
Abstract
The creation of a complex Web site is a thorny problem in user interface design. In this paper we explore the notion of adaptive Web sites: sites that semi-automatically improve their organization and presentation by learning from visitor access patterns. It is easy to imagine and implement Web sites that offer shortcuts to popular pages. Are more sophisticated adaptive Web sites feasible? What degree of automation can we achieve? To address the questions above, we describe the design space of adaptive Web sites and consider a case study: the problem of synthesizing new index pages that facilitate navigation of a Web site. We present the PageGather algorithm, which automatically identifies candidate link sets to include in index pages based on user access logs. We demonstrate experimentally that PageGather outperforms the Apriori data mining algorithm on this task. In addition, we compare PageGather's link sets to pre-existing, human-authored index pages.
Url:
DOI: 10.1016/S1389-1286(99)00017-1
Affiliations:
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Le document en format XML
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links</term><term>Presentation agent</term><term>Previous work</term><term>Proc</term><term>Quality threshold</term><term>Reduction step</term><term>Research interests</term><term>Server</term><term>Server logs</term><term>Several subproblems</term><term>Similar clusters</term><term>Similar tastes</term><term>Similarity matrix</term><term>Single session</term><term>Single visit</term><term>Small number</term><term>Sparse graph</term><term>Test data</term><term>Training data</term><term>Unlinked pages</term><term>User</term><term>User access patterns</term><term>User visits</term><term>Visit percentage</term><term>Visitor access patterns</term><term>Vldb conference</term><term>Webmaster</term><term>Webwatcher</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The creation of a complex Web site is a thorny problem in user interface design. In this paper we explore the notion of adaptive Web sites: sites that semi-automatically improve their organization and presentation by learning from visitor access patterns. It is easy to imagine and implement Web sites that offer shortcuts to popular pages. Are more sophisticated adaptive Web sites feasible? What degree of automation can we achieve? To address the questions above, we describe the design space of adaptive Web sites and consider a case study: the problem of synthesizing new index pages that facilitate navigation of a Web site. We present the PageGather algorithm, which automatically identifies candidate link sets to include in index pages based on user access logs. We demonstrate experimentally that PageGather outperforms the Apriori data mining algorithm on this task. In addition, we compare PageGather's link sets to pre-existing, human-authored index pages.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Washington (État)</li></region><settlement><li>Seattle</li></settlement><orgName><li>Université de Washington</li></orgName></list><tree><country name="États-Unis"><region name="Washington (État)"><name sortKey="Perkowitz, Mike" sort="Perkowitz, Mike" uniqKey="Perkowitz M" first="Mike" last="Perkowitz">Mike Perkowitz</name></region><name sortKey="Etzioni, Oren" sort="Etzioni, Oren" uniqKey="Etzioni O" first="Oren" last="Etzioni">Oren Etzioni</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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