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Cognitive Interactive Search Based on Personalized User Model and Context

  • US 20160196336A1
  • Filed: 01/02/2015
  • Published: 07/07/2016
  • Est. Priority Date: 01/02/2015
  • Status: Abandoned Application
First Claim
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1. A method, in a data processing system implementing a Question and Answer (QA) system, for performing a personalized context based search of a corpus of information, comprising:

  • receiving, by the QA system, from a first user via a source device, an original question for processing by the QA system to generate an answer result;

    retrieving, by the QA system, a first user profile associated with the first user, wherein the first user profile specifies a personality trait of the first user;

    generating, by the QA system, one or more first candidate answers to the original question based on a search of a corpus of electronic content;

    identifying, by the QA system, one or more second users having a similar personality trait to the personality trait of the first user;

    identifying, by the QA system, one or more similar questions, similar to that of the original question, previously submitted to the QA system by the one or more second users;

    generating, by the QA system, one or more second candidate answers based on the one or more similar questions;

    generating, by the QA system, a final answer based on the one or more first candidate answers and one or more second candidate answers; and

    outputting, by the QA system, the answer to the user via the source device.

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