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Artificial Intelligence Review

, Volume 13, Issue 5–6, pp 393–408 | Cite as

A Framework for Collaborative, Content-Based and Demographic Filtering

  • Michael J. Pazzani
Article

Abstract

We discuss learning a profile of user interests for recommending information sources such as Web pages or news articles. We describe the types of information available to determine whether to recommend a particular page to a particular user. This information includes the content of the page, the ratings of the user on other pages and the contents of these pages, the ratings given to that page by other users and the ratings of these other users on other pages and demographic information about users. We describe how each type of information may be used individually and then discuss an approach to combining recommendations from multiple sources. We illustrate each approach and the combined approach in the context of recommending restaurants.

collaborative filtering information filters recommendation systems 

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Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • Michael J. Pazzani
    • 1
  1. 1.Department of Information and Computer ScienceUniversity of CaliforniaIrvineUSA

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