Music playlists for geographical regions

Patent metadata

Field	Value
Publication number	US-9495447-B1
Application number	US-201414229707-A
Country	US
Kind code	B1
Filing date	Mar 28, 2014
Priority date	Mar 28, 2014
Publication date	Nov 15, 2016
Grant date	Nov 15, 2016

Abstract

Technology is described for generating music playlists tailored to a geographical region. Collective music listening habits may be identified for a geographical region. The collective music listening habits for the geographical region may be categorized into one or more categories of music. Geographical station programming may be generated according to at least one of the categories of music. The geographical station programming may include a music playlist that corresponds to the collective music listening habits for the geographical region.

First claim

What is claimed is:

1. A method for generating music playlists tailored to a geographical region, the method comprising:
under control of one or more computer systems configured with executable instructions:
collecting aggregated music behavior information regarding music-related listening behaviors performed in the geographical region, wherein the aggregated music behavior information includes electronic music purchases and music listened to by users;
identifying collective music listening habits for the geographical region using the aggregated music behavior information;
generating geographical station programming for at least one category of music, the geographical station programming including a playlist of music corresponding to the collective music listening habits for the geographical region in the category of music;
providing the geographical station programming to a device in the geographical region over a first terrestrial radio channel; and
providing an announcement for a user to switch to a second terrestrial radio channel, the second terrestrial radio channel providing a same genre of music as the first terrestrial radio channel.

2. The method of claim 1 , further comprising providing the geographical station programming to a radio transmitter for transmission over a terrestrial radio station.

3. The method of claim 1 , further comprising providing the geographical station programming to a transceiver for communication to a mobile computing device over a cellular network.

4. The method of claim 1 , wherein the aggregated music behavior information includes the electronic music purchases and the music listened to by the users via internet that are located within the geographical region.

5. A computer-implemented method, the method comprising:
under control of one or more computer systems configured with executable instructions:
identifying collective music listening habits for a geographical region;
categorizing the collective music listening habits for the geographical region into one or more categories of music
generating geographical station programming according to at least one of the categories of music, the geographical station programming including a music playlist that corresponds to the collective music listening habits for the geographical region;
providing the geographical station programming to a device in the geographical region over a first terrestrial radio channel; and
providing an announcement for a user to switch to a second terrestrial radio channel, the second terrestrial radio channel providing a same genre of music as the first terrestrial radio channel.

6. The method of claim 5 , further comprising providing the geographical station programming over a terrestrial radio channel.

7. The method of claim 5 , further comprising providing the geographical station programming over a cellular network.

8. The method of claim 5 , further comprising providing geographical station programming to a mobile device over a cellular network, the mobile device being capable of retransmitting the music included in the geographical station programming to a vehicle.

9. The method of claim 5 , further comprising identifying the collective music listening habits for the geographical region based on the aggregated information about the music items purchased or listened to at an electronic site by the users located within the geographical region.

10. The method of claim 5 , further comprising offering the music included in the geographical station programming for purchase upon a user logging into a user account and selecting the geographical region associated with the user.

11. The method of claim 5 , further comprising providing information about the music included in the geographical station programming upon a user selecting the geographical region associated with the user.

12. The method of claim 5 , further comprising providing targeted advertisements with the geographical station programming based on the collective music listening habits for the geographical region.

13. The method of claim 5 , further comprising providing personalized advertisements to a mobile device that are personalized for a user based on a viewing history, purchasing history, listening history or account information associated with the user.

14. The method of claim 5 , further comprising:
providing the geographical station programming to a vehicle in the geographical region over the first terrestrial radio channel; and
providing the announcement for the user to switch to the second terrestrial radio channel when the vehicle approaches the adjacent geographical region, the second terrestrial radio channel providing the same genre of music as the first terrestrial radio channel.

15. The method of claim 5 , further comprising varying the music included in the geographical station programming according to a time of day based on the collective music listening habits for the geographical region.

16. A system for generating music playlists tailored to a geographical region, the system comprising:
a processor;
a memory device including a data store to store a plurality of data and instructions that, when executed by the processor, cause the processor to execute:
an aggregated information collection module to collect aggregated music behavior information regarding music-related behaviors performed in the geographical region, wherein the aggregated music behavior information includes electronic music purchases and music listened to by users;
a music listening habits identification module to identify collective music listening habits for the geographical region using the aggregated music behavior information and music references identified in social media, the music references including at least discussions, recommendations, reviews, and messages related to the music in the geographical region; and
a geographical station programming module to:
generate geographical station programming for at least one category of music, the geographical station programming including a playlist of music according to the collective music listening habits for the geographical region in the category of music:
providing the geographical station programming to a device in the geographical region over a first terrestrial radio channel; and
providing an announcement for a user to switch to a second terrestrial radio channel, the second terrestrial radio channel providing a same genre of music as the first terrestrial radio channel.

17. The system of claim 16 , further comprising a music delivery module to provide the geographical station programming to a radio receiver over a terrestrial radio station.

18. The system of claim 16 , further comprising a music delivery module to provide the geographical station programming to a mobile computing device over a cellular network.

19. The system of claim 16 , wherein the aggregated music behavior information includes the electronic music purchases and the music listened to via internet by the users located within the geographical region.

20. The system of claim 16 , wherein the geographical station programming module is further configured to vary the music included in the geographical station programming according to a time of day based on the collective music listening habits for the geographical region.

Assignees

• Amazon Tech Inc

Inventors

• Phillips Christopher Woolf
• Eisher Eric Scott

Classifications

• G06F16/686

  using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings · CPC title

• G06F16/29

  Geographical information databases · CPC title

• H04L67/306

  User profiles · CPC title

• G06F16/60

  of audio data · CPC title

• G06F16/68 Primary

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