Radio-station-recommendation system and method

Patent metadata

Field	Value
Publication number	US-10467285-B2
Application number	US-201515580194-A
Country	US
Kind code	B2
Filing date	Aug 21, 2015
Priority date	Aug 21, 2015
Publication date	Nov 5, 2019
Grant date	Nov 5, 2019

Abstract

A method of recommending radio stations including the step of generating a plurality of driver models. Each driver model may correspond to a different driver and documents audio content listened to by that driver while driving. The plurality of driver models may be aggregated to generate a recommendation model correlating radio stations, audio content, and geographic regions. Thereafter, a request for recommendations may be received from a driver while the driver is in a familiar or unfamiliar geographic region. A driver model corresponding to the driver may be compared against other data contained within the recommendation model in order to identify one or more radio stations that present audio content within the geographic region that best matches the audio content documented within the driver model corresponding to the driver. The one or more radio stations may then be communicated to the driver.

First claim

What is claimed is:

1. A method comprising:
generating, by a computer system, multiple models corresponding to multiple drivers such that each model of the multiple models documents content heard by a different driver of the multiple drivers;
aggregating, by the computer system, the multiple models to form a recommendation model that identifies which radio stations play which audio content in which geographic regions;
receiving, by the computer system from a first driver of the multiple drivers, a request for recommendations;
leveraging, by the computer system in response to the receiving, the recommendation model to identify at least one radio station that presents content best matching content documented within a first model of the multiple models that corresponds to the first driver; and
responding, by the computer system, to the request with the at least one radio station.

2. The method of claim 1 , wherein:
the first driver has a base geographic region in which the first driver primarily drives; and
the receiving comprises receiving, by the computer system, the request from the first driver while the first driver is located outside of the base geographical region.

3. The method of claim 2 , wherein the computer system comprises:
an infotainment system installed in a vehicle driven by the first driver; and
at least one remote computer connected via a communication network to the infotainment system.

4. The method of claim 3 , wherein the generating comprises:
monitoring, by the infotainment system, the content listened to by the first driver while driving the vehicle; and
reporting, by the infotainment system to the at least one network computer, information characterizing the content listened to by the first driver while driving the vehicle.

5. The method of claim 4 , wherein the content listened to by the first driver while driving the vehicle comprises local radio programming played through the infotainment system of the vehicle.

6. The method of claim 5 , wherein the content listened to by the first driver while driving the vehicle comprises content played from a mobile device through the infotainment system of the vehicle.

7. The method of claim 6 , wherein the content listened to by the first driver while driving the vehicle comprises satellite radio programming played through the infotainment system of the vehicle.

8. A method comprising:
generating, by a computer system, a plurality of driver models, wherein at least one driver model of the plurality of driver models corresponds to each driver of a plurality of vehicle drivers and documents audio content listened to by the each driver while driving;
aggregating, by a component of the computer system, the plurality of driver models to generate a recommendation model correlating radio stations, audio content, and geographic regions;
the aggregating wherein the component is located remotely with respect to each driver of the plurality of vehicle drivers;
receiving, by the computer system from a first driver of the plurality of drivers while the first driver is in a first geographic region of the geographic regions, a request for recommendations;
comparing, by the computer system, a first driver model of the plurality of driver models with other data contained within the recommendation model, the first driver model corresponding to the first driver;
identifying, by the computer system based on the comparing, at least one radio station of the radio stations, wherein the at least one radio station presents audio content within the first geographic region that best matches the audio content documented within the first driver model; and
recommending, by the computer system, the at least one radio station to the first driver.

9. The method of claim 8 , wherein the each driver of the plurality of vehicle drivers drives most often in a base geographical region corresponding to the each driver.

10. The method of claim 9 , wherein the at least one driver model documents audio content listened to by the each driver while driving in the base geographic region corresponding to the each driver.

11. The method of claim 10 , wherein the first geographic region is different than the base geographic region corresponding to the first driver.

12. The method of claim 11 , wherein the first geographic region is the base geographic region corresponding to a second driver of the plurality of vehicle drivers.

13. The method of claim 12 , wherein the recommendation model identifies which radio stations play which audio content in which geographic regions.

14. The method of claim 13 , wherein the recommendation model further identifies which radio stations play which audio content in which geographic regions at which times of the day.

15. The method of claim 8 , wherein the audio content documented in the generating comprises content played from a mobile device through an infotainment system of a vehicle.

16. The method of claim 8 , wherein the audio content documented in the generating comprises satellite radio programming played through an infotainment system of a vehicle.

17. The method of claim 8 , wherein the audio content documented in the generating comprises local radio programming played through an infotainment system of a vehicle.

18. The method of claim 8 , wherein the computer system comprises:
an infotainment system installed in a vehicle driven by the first driver; and
at least one remote computer connected via a communication network to the infotainment system.

19. The method of claim 18 , wherein the generating comprises:
monitoring, by the infotainment system, the audio content listened to by the first driver while driving; and
reporting, by the infotainment system to the at least one network computer, information characterizing the audio content listened to by the first driver while driving.

Assignees

• Ford Global Tech Llc

Inventors

• Banvait Harpreetsingh
• Feldman Casey Bryan
• Jain Jinesh J

Classifications

• G06N5/02

  Knowledge representation; Symbolic representation · CPC title

• H04N21/8113

  comprising music, e.g. song in MP3 format · CPC title

• H04N21/4668

  for recommending content, e.g. movies · CPC title

• H04N21/251

  Learning process for intelligent management, e.g. learning user preferences for recommending movies (details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08) · CPC title

• H04N21/2668

  Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles {(information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063)} · CPC title