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Digital assistant extension automatic ranking and selection

  • US 10,437,841 B2
  • Filed: 10/10/2016
  • Issued: 10/08/2019
  • Est. Priority Date: 10/10/2016
  • Status: Active Grant
First Claim
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1. A method for selecting and ranking service extensions, comprising:

  • receiving a query from a user or an inference related to the user;

    identifying any bots that activate in response to the query or the inference;

    ranking the activated bots by performing acts for each activated bot comprising;

    identifying a set of features corresponding to the activated bot, at least a portion of the set of features being pre-calculated based on the activated bot processing a set of curated queries;

    presenting at least a portion of the set of features to a ranking and response selection model trained via a machine learning process using the set of curated queries;

    identifying a rank for the activated bot using the ranking and response selection model and the portion of the set of features; and

    placing the activated bot in rank order compared to other activated bots to create a ranked list of bots;

    selecting at least one bot from the ranked list of bots; and

    presenting an output of the at least one bot to the user.

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