SEWeP: A web mining system supporting semantic personalization

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantically focused set of recommendations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
PublisherSpringer Verlag
Pages552-554
Number of pages3
ISBN (Print)3540231080, 9783540231080
DOIs
Publication statusPublished - 1 Jan 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3202
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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