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Predicting user interests

  • US 9,633,312 B1
  • Filed: 04/28/2015
  • Issued: 04/25/2017
  • Est. Priority Date: 02/02/2011
  • Status: Active Grant
First Claim
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1. A method performed by data processing apparatus, the method comprising:

  • receiving queries from a user device, each received query being assigned to one or more topic-based categories and at least one of the received queries being assigned to multiple different topic-based categories;

    identifying a set of topic-based categories for the user device, the set of topic-based categories comprising each topic-based category to which at least one of the received queries is assigned;

    generating, using a plurality of prediction models, a category prediction of a next query to be received from the user device and that has not yet been received from the user device, the category prediction specifying at least one topic-based category to which the next query is predicted to belong, wherein;

    the plurality of prediction models comprising at least two prediction models that each generate a respective category prediction based on the one or more topic-based categories to which each received query is assigned;

    each of the plurality of prediction models using different criteria for generating the respective category predictions; and

    at least one of the prediction models generates a respective category prediction based on a time at which at least one received query was received for each topic-based category in the set of topic-based categories and at least one of the prediction models generates a respective category prediction independent of the time at which at the least one received query was received for each topic-based category in the set of topic-based categories; and

    providing, to the user device, data that cause a content item related to the at least one topic-based category to be presented at the user device.

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