US Patent Application 17824279. RECOMMENDATION SYSTEM FOR VEHICLE PASSENGERS simplified abstract

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RECOMMENDATION SYSTEM FOR VEHICLE PASSENGERS

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Alireza Esna Ashari Esfahani of Novi MI (US)

Upali P. Mudalige of Rochester Hills MI (US)

RECOMMENDATION SYSTEM FOR VEHICLE PASSENGERS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17824279 titled 'RECOMMENDATION SYSTEM FOR VEHICLE PASSENGERS

Simplified Explanation

This patent application describes a recommendation system for a unique user of a vehicle that predicts recommended commercial establishments based on their personality profile. Here are the key points:

  • The system includes a centralized computing unit that communicates wirelessly with the vehicle and other remotely located vehicles.
  • The centralized computing unit uses a personality profile of the unique user to score and rank potential commercial establishments.
  • The personality profile is based on the commercial establishments visited by the unique user and other users associated with the remotely located vehicles.
  • The system re-ranks the initial list of recommended commercial establishments based on additional criteria factors.
  • The result is a final list of recommended commercial establishments tailored to the unique user's preferences.


Original Abstract Submitted

A recommendation system for a unique user of a vehicle that predicts one or more recommended commercial establishments includes a centralized computing unit in wireless communication with the vehicle and a plurality of remotely located vehicles. The centralized computing unit score and ranks, based on a personality profile of the unique user of the vehicle, a plurality of potential commercial establishments to determine an initial list of recommended commercial establishments. The personality profile is based on commercial establishments visited by the unique user and a plurality of users, and the plurality of users each represent an individual associated with one of the remotely located vehicles. The centralized computing units re-rank the initial list of recommended commercial establishments based on one or more additional criteria factors to determine a final list of recommended commercial establishments.

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