Automated collaborative filtering system

  • US 5,884,282 A
  • Filed: 04/09/1998
  • Issued: 03/16/1999
  • Est. Priority Date: 04/30/1996
  • Status: Expired due to Term
First Claim
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1. A method for selecting an item from a plurality of items to recommend to a first user of a plurality of users, the method comprising:

  • obtaining ratings data for at least some of the items in the plurality of items from first ones of the plurality of users, wherein the ratings data for each of the respective items includes information about the overall ratings distribution for the item;

    locating a first common item that the first user and a second user in the plurality of users have provided ratings data for;

    transforming the ratings data for the first common item from the ratings data for the first common item provided by the first ones of the plurality of users to provide first transformed ratings data;

    computing a range of randomized transformed ratings data for the first common item from the ratings data for the first common item provided by the first ones of the plurality of users;

    determining a test statistic for the first common item from the first transformed ratings data and the range of randomized transformed ratings data; and

    determining a similarity value from the test statistic for the first user with respect to the second user.

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