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Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics

  • US 9,576,056 B2
  • Filed: 11/12/2012
  • Issued: 02/21/2017
  • Est. Priority Date: 02/03/2005
  • Status: Active Grant
First Claim
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1. A method comprising:

  • storing a plurality of mediasets for multiple different users in a knowledge base of mediasets; and

    preprocessing the knowledge base of mediasets to quantify an association between pairs of media items in the knowledge base, comprising;

    for each item in a mediaset, identifying every other item in the same mediaset, so as to define all of the pairs of media items in that mediaset;

    repeating said identifying step for every other mediaset in the knowledge base, thereby defining every pair of items that appears in any mediaset in the knowledge base; and

    for each identified pair of media items, adjusting a co-concurrency metric value responsive to each additional occurrence of the same pair of media items in the knowledge base, said co-concurrency metric value comprising a co-concurrency metric value being defined as a number of times that multiple media items appear together in multiple users'"'"' mediasets;

    receiving, from a client device, at least one input media item;

    identifying, from the plurality of mediasets for the multiple different users in the knowledge base of mediasets, a plurality of ordered pairs of media items containing the input media item; and

    selecting one or more of the plurality of ordered pairs of media items by determining that the co-concurrency metric value is adjusted above a predetermined threshold value.

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