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Transactional conversation-based computing system

  • US 10,452,251 B2
  • Filed: 09/27/2017
  • Issued: 10/22/2019
  • Est. Priority Date: 05/23/2017
  • Status: Active Grant
First Claim
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1. A computing system for automating transactional conversations between the computing system and at least one front-end computing device, the computing system comprising:

  • a conversation design module configured to;

    provide a graphical user interface through which a plurality of conversation models are designed, wherein each conversation model comprises;

    a topic;

    one or more goals; and

    a conversation flow that defines a dialog to direct conversations toward the one or more goals;

    wherein the topic, the one or more goals, and the conversation flow are defined by one or more inputs via the graphical user interface, and each conversation model of the plurality of conversation models references topic-specific content stored on a back-end computing module;

    receive, via the graphical user interface, inputs representing the topic of a new conversation model, the one or more goals for the topic, and a plurality of conversation snippets, wherein each conversation snippet is representative of a single prompt provided by the computing system to the at least one front-end computing device, and wherein at least one conversation snippet of the plurality of conversation snippets is associated with a potential response to a preceding conversation snippet received by the computing system from the at least one front-end computing device; and

    automatically generate the new conversation model based on the received inputs; and

    a conversation execution module, comprising;

    a conversation manager configured to;

    receive one or more user inputs indicative of a subject from the at least one front-end computing device;

    select a particular conversation model of the plurality of conversation models based on the one or more user inputs received from the at least one front-end computing device; and

    carry out, in an automated fashion, the conversation flow for the particular conversation model according to the dialog and the topic-specific content corresponding to the particular conversation model.

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