Fuzzy Web Ad Selector Based on Web Usage Mining

  • Authors:
  • Sung Min Bae;Sung Ho Ha;Sang Chan Park

  • Affiliations:
  • Korea Advanced Institute of Science and Technology;Kyungpook National University;Korea Advanced Institute of Science and Technology

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2003

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Abstract

This Web ad selection system divides Web site customers with similar preferences into severalsegments through Web usage mining. It uses fuzzy rules, which express customer segments' surfingpatterns and corresponding ads that advertising experts suggest. The system selects appropriate Web adsby fuzzy inference and forwards them to the target customer.