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METHODS AND SYSTEMS FOR SELECTING AND PRESENTING CONTENT BASED ON LEARNED PERIODICITY OF USER CONTENT SELECTION

  • US 20070271205A1
  • Filed: 03/06/2007
  • Published: 11/22/2007
  • Est. Priority Date: 03/06/2006
  • Status: Active Grant
First Claim
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1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learning periodicities of user selections of content items, the method comprising:

  • providing a set of content items, each content item having at least one associated descriptive term to describe the content item;

    receiving incremental input entered by the user for incrementally identifying desired content items;

    in response to the incremental input entered by the user, presenting a subset of content items to the user;

    receiving actions from the user selecting content items from the subset;

    analyzing the date, day, and time of the user selection actions and analyzing the descriptive terms associated with the selected content items to learn a periodicity of user selections of similar content items, wherein similarity is determined by comparing the descriptive terms associated with the selected content item with the previously selected content item, and wherein the periodicity indicates the amount of time between user selections of similar content items relative to a reference point;

    associating the learned periodicity with descriptive terms associated with the similar content items; and

    in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items wherein content items associated with descriptive terms similar to the subsequent incremental input and associated with descriptive terms further associated with periodicities similar to the date, day, and time of the subsequent incremental input are presented as more relevant content.

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