Information Filtering: A New Two-Phase Model Using Stereotypic User Profiling

Bracha Shapira, Uri Hanani, Adi Raveh, Peretz Shoval

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Computer users often experience the "lost in information space" syndrome. Information filtering suggests a solution based on restricting the amount of information made available to users. This study suggests an advanced model for information filtering which is based on a two-phase filtering process. The user profiling in the model is constructed on the basis of the user's areas of interest and on sociological parameters about him that are known to the system. The system maintains a database of known stereotypes that includes rules on their information retrieval needs and habits. During the filtering process, the system relates the user to one or more stereotypes and operates the appropriate stereotypic rules.

Original languageEnglish
Pages (from-to)155-165
JournalJournal of Intelligent Information Systems
Volume8
Issue number2
DOIs
StatePublished - 1 Jan 1997

Keywords

  • Browsing
  • Information filtering
  • Information retrieval
  • Stereotypes
  • User modeling
  • User-profile

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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