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Travel Itinerary Recommendation Engine Using Inferred Interests and Sentiments

  • US 20160125502A1
  • Filed: 11/04/2014
  • Published: 05/05/2016
  • Est. Priority Date: 11/04/2014
  • Status: Active Grant
First Claim
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1. A method for preparing travel itineraries based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of prose comprising:

  • receiving by a computer one or more interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of prose, wherein the works of literature have been rated, commented, or both rated and commented by the user;

    searching by the computer one or more repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels;

    arranging by the computer the matching items which exceed a threshold sentiment levels into one or more travel itineraries using a trip planning server;

    receiving by the computer from the trip planning server one or more travel itineraries within one or more digital containers;

    scoring by the computer each travel itinerary by accumulating sentiment values for each travel item associated with each travel itinerary; and

    providing by the computer travel itineraries which exceed an accumulated sentiment value threshold to a consumer, wherein the consumer may comprise another computer process, a console to a user, or both another computer process and a console to a user.

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