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RECOMMENDATION SYSTEM WITH MULTIPLE INTEGRATED RECOMMENDERS

  • US 20090006374A1
  • Filed: 06/29/2007
  • Published: 01/01/2009
  • Est. Priority Date: 06/29/2007
  • Status: Active Grant
First Claim
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1. A recommendations system for selecting items to recommend to a target user, the system comprising:

  • a recommendation engine comprising a plurality of recommenders, each recommender corresponding to a different type of reason for recommending items;

    the plurality of recommenders comprising a tag-based recommender configured to;

    identify at least one tagged item in a computerized repository of items, the at least one tagged item associated with a target user,select one or more user-defined textual tags associated with the at least one tagged item, each tag comprising a descriptor selectively associated with the at least one tagged item by one or more users, andsearch the computerized repository of items using the one or more tags as keywords to identify a corresponding set of related items; and

    a candidate selector component configured to;

    select at least a portion of the set of related items to provide as recommendations to the user, andoutput the recommendations with associated reasons for recommending the items.

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