Towards adaptive Web sites: Conceptual framework and case study

Towards adaptive Web sites: Conceptual framework and case study

Source :

• Artificial Intelligence [ 0004-3702 ] ; 2000.

English descriptors

• KwdEn :
  • Adaptive Web sites, Conceptual clustering, Data mining.
• Teeft :
  • Access logs, Adaptive, Adaptive sites, Algorithm, Apriori, Association rules, Audio samples, Avanti, Avanti project, Average pairwise, Average pairwise similarity, Candidate clusters, Candidate index pages, Candidate link sets, Clique, Cluster, Cluster mining, Cluster mining algorithms, Cluster mining problem, Cobweb, Cohesive clusters, Collaborative, Common topic, Computer science, Computer science department, Conceptual, Conceptual algorithms, Conceptual approach, Conceptual cluster mining, Conceptual cluster mining problem, Conceptual clusters, Conceptual description, Conceptual descriptions, Conceptual hierarchy, Conceptual language, Conceptual structure, Conjunctive rule, Contribution values, Current visit, Customization, Data collection, Data mining, Data mining algorithms, Description length, Different kinds, Different ways, Distinct pages, Distinct visitors, Document retrieval, Elsevier science, Entire space, Etzioni, Etzioni intelligence, Experimental comparison, Experimental method, Fossils cast, Front page, Full access, Future work, Goal state, Graph algorithms, Hierarchical, Hierarchical agglomerative, Hierarchical partition, High quality clusters, Higher impact, Html pages, Human webmaster, Index page, Index page synthesis, Index page synthesis problem, Index pages, Indexfinder, Indexfinder algorithm, Individual visitors, Initial state, Instantiation, Large collections, Large databases, Large number, Links, Links users, Ltering, Many clusters, Many kinds, Many pages, Many people, Many visitors, Matrix, Maximal cliques, Maximum rule length, Mining, Mining association rules, Music machines, Music machines site, Nding, Negative examples, Nontrivial adaptations, Object space, Original design, Other algorithms, Other hand, Other members, Other users, Overlap elimination, Overlap measure, Page frequencies, Page views, Pagegather, Pagegather algorithm, Pairwise, Pairwise similarity measure, Particular topic, Particular type, Perkowitz, Personal agents, Pgcc, Pgcc pgclique, Pgclique, Pgmdl, Pgrip pgpos, Popular links, Positive examples, Presentation agent, Previous section, Previous work, Primary testbed, Problem domain, Problem space, Proc, Quality measure, Quality threshold, Reasonable size, Scml, Scml algorithm schema, Scml instantiations, Scml schema, Search space, Second site, Server, Server logs, Sigmod conference, Similar objects, Similar tastes, Similarity matrix, Similarity measure, Single cluster, Single session, Single visit, Small number, State transitions, Statistical approaches, Statistical cluster, Statistical cluster mining algorithm, Test data, Total number, Tractable algorithm, Training data, Unlinked pages, Unprocessed results, User, User access patterns, User clicks, User model, User visits, Visitor, Visitor access patterns, Vldb conference, Webmaster, Webwatcher, Word vectors.

Abstract

• https://api.istex.fr/document/01ECA0C769D7222C51005A35F9E4B6403E3EE5F2/fulltext/pdf

Affiliations:

• États-Unis
• Washington (État)
• Seattle
• Université de Washington

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