Method and system for generating location-based playlists

Patent metadata

Field	Value
Publication number	US-10977305-B2
Application number	US-201916658970-A
Country	US
Kind code	B2
Filing date	Oct 21, 2019
Priority date	Jul 26, 2012
Publication date	Apr 13, 2021
Grant date	Apr 13, 2021

Abstract

Methods, systems, and computer programs are presented for generating location-based playlists. The disclosed method includes providing a music service for generating playlists for a location, identifying users having respective user devices within the defined boundaries of the location, and aggregating music preferences of the identified users. Each of the user devices have access to the music service and the aggregated music preferences of the identified users identify a plurality of music tracks. The disclosed method further includes generating a playlist having the plurality of music tracks based on the aggregated music preferences and providing an access to the generated playlist to the identified users at the location. The plurality of music tracks of the playlist is provided for listening by the music service to one or more of the user devices.

First claim

What is claimed is:

1. A method for generating location-based playlists, the method comprising:
identifying, using a hardware processor, users having respective user devices within a particular location, wherein each of the identified users is connected to a music service that generates playlists of media content;
identifying, using the hardware processor, an outlier user from the identified users, the outlier user having music preferences different than music preferences of a majority of the identified users; and
generating, using the hardware processor, a playlist having a plurality of music tracks based on the aggregated music preferences, wherein the music preferences of the outlier user are excluded from aggregated music preferences of the identifier users.

2. The method of claim 1 , further comprising adjusting the generated playlist in response to identifying a new user entering the particular location, wherein the new user is connected to the music service.

3. The method of claim 1 , further comprising adjusting the generated playlist in response to detecting that one of the identifier users has exited the particular location, wherein access to the generated playlist by the identified user that has exited the particular location is disconnected.

4. The method of claim 1 , further comprising filtering the identifier users based on social affinity information.

5. The method of claim 1 , further comprising generating a plurality of sub-playlists based on music categories of the plurality of music tracks of the generated playlist, wherein each of the plurality of sub-playlists includes a portion of the plurality of music tracks of the generated playlist having a same music category.

6. The method of claim 1 , wherein the plurality of music tracks of the generated playlist is respectively stored in music libraries of the identified users.

7. The method of claim 1 , further comprising providing access to the generated playlist to the identified users at the location, the plurality of music tracks of the generated playlist being provided for listening by the music service to one or more of the user devices.

8. A system for generating location-based playlists, the system comprising:
a hardware processor that is programmed to:
identify users having respective user devices within a particular location, wherein each of the identified users is connected to a music service that generates playlists of media content;
identify an outlier user from the identified users, the outlier user having music preferences different than music preferences of a majority of the identified users; and
generate a playlist having a plurality of music tracks based on the aggregated music preferences, wherein the music preferences of the outlier user are excluded from aggregated music preferences of the identifier users.

9. The system of claim 8 , wherein the hardware processor is further programmed to adjust the generated playlist in response to identifying a new user entering the particular location, wherein the new user is connected to the music service.

10. The system of claim 8 , wherein the hardware processor is further programmed to adjust the generated playlist in response to detecting that one of the identifier users has exited the particular location, wherein access to the generated playlist by the identified user that has exited the particular location is disconnected.

11. The system of claim 8 , wherein the hardware processor is further programmed to filter the identifier users based on social affinity information.

12. The system of claim 8 , wherein the hardware processor is further programmed to generate a plurality of sub-playlists based on music categories of the plurality of music tracks of the generated playlist, wherein each of the plurality of sub-playlists includes a portion of the plurality of music tracks of the generated playlist having a same music category.

13. The system of claim 8 , wherein the plurality of music tracks of the generated playlist is respectively stored in music libraries of the identified users.

14. The system of claim 8 , wherein the hardware processor is further programmed to provide access to the generated playlist to the identified users at the location, the plurality of music tracks of the generated playlist being provided for listening by the music service to one or more of the user devices.

15. A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for generating location-based playlists, the method comprising:
identifying, using a hardware processor, users having respective user devices within a particular location, wherein each of the identified users is connected to a music service that generates playlists of media content;
identifying, using the hardware processor, an outlier user from the identified users, the outlier user having music preferences different than music preferences of a majority of the identified users; and
generating, using the hardware processor, a playlist having a plurality of music tracks based on the aggregated music preferences, wherein the music preferences of the outlier user are excluded from aggregated music preferences of the identifier users.

16. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises adjusting the generated playlist in response to identifying a new user entering the particular location, wherein the new user is connected to the music service.

17. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises adjusting the generated playlist in response to detecting that one of the identifier users has exited the particular location, wherein access to the generated playlist by the identified user that has exited the particular location is disconnected.

18. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises filtering the identifier users based on social affinity information.

19. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises generating a plurality of sub-playlists based on music categories of the plurality of music tracks of the generated playlist, wherein each of the plurality of sub-playlists includes a portion of the plurality of music tracks of the generated playlist having a same music category.

20. The non-transitory computer-readable medium of claim 15 , wherein the plurality of music tracks of the generated playlist is respectively stored in music libraries of the identified users.

21. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises providing access to the generated playlist to the identified users at the location, the plurality of music tracks of the generated playlist being provided for listening by the music service to one or more of the user devices.

Assignees

• Google Llc

Inventors

• Wansley Andrew Theodore
• Liu Sean
• Chen Rita

Classifications

• G06F16/68

  Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title

• G06F16/637

  Administration of user profiles, e.g. generation, initialization, adaptation or distribution · CPC title

• G06F16/639 Primary

  using playlists · CPC title

• H04W4/021

  Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences · CPC title