An intelligent system for personalized advertising on the internet

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

12 Scopus citations

Abstract

An Internet advertising system proposed here clusters Web site users with similar preferences into numerous segments through Web usage mining. It utilizes fuzzy rules which express user segments' surfing patterns and appropriate Web ads. It selects proper Web ads by fuzzy inference, stores them in recommendation sets database, and forwards them to the target user. To verify the effectiveness of the system, changes in click-through-ratio scores per e-newspaper section are observed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsKurt Bauknecht, Martin Bichler, Birgit Pröll
PublisherSpringer Verlag
Pages21-30
Number of pages10
ISBN (Electronic)9783540229179
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3182
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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