Digital Content Genre Representation

• US 20150347388A1
• Filed: 06/03/2014
• Published: 12/03/2015
• Est. Priority Date: 06/03/2014
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Lu, Yang
• Application Number:
  US14/294,320
• Publication Number:
  US 20150347388A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 9/454 Multi-language systems; Localisation; Internationalisation

Abstract

A digital media store may receive content from a content creator and/or distributor thereof. The distributor may provide the content with a label genre. A first mapping rule may be applied to the label genre to convert it to a canonical genre and the canonical genre may be converted to a regional genre based on the application of a second mapping rule. The regional genre may be presented to a consumer'"'"'s electronic device along with a translation, if necessary.

Claims

1. A computer-implemented method, comprising:

receiving, by a digital media store, a song from a music label for which the music label has assigned a label genre;

applying a first mapping rule to convert the label genre to a first one of a plurality of canonical genres, wherein every music genre submitted to the digital media store maps to exactly one of the plurality of canonical genres;

applying a second mapping rule to convert the first one of the plurality of canonical genres to at least one regional genre, wherein each of the at least one regional genre corresponds to a subset of the plurality of canonical genres available in a first region; and

providing, to an electronic device of a consumer browsing the media store, a first of the at least one regional genre.

2. The method of claim 1, wherein at least one of the first mapping rule and the second mapping rule is derived from a machine learning technique applied to a plurality of songs, wherein the machine learning technique comprises a digital analysis of a plurality of features of the plurality of songs.

3. The method of claim 1, further comprising:

receiving a second label genre that is undefined in the plurality of canonical genres;

determining that the second label is distinct from the each of the plurality of canonical genres; and

generating a new canonical genre based on the second label genre.

4. The method of claim 3, wherein the generating the new canonical genre comprises receiving a definition of the new canonical genre.

5. The method of claim 1, further comprising:

generating a translation of the at least one regional genre for display by the media store; and

providing, to the electronic device of the consumer browsing the media store, the translation.

6. The method of claim 5, further comprising:

obtaining an indication of the first region associated with the electronic device of the consumer, and

selecting the first of the at least one regional genre and the translation based on the indication of the first region associated with the electronic device.

7. The method of claim 6, further comprising:

receiving a request from the electronic device of the consumer to convert the media store to a second region; and

providing, to the electronic device of the consumer browsing the media store, a second of the at least one regional genre and the translation.

8. The method of claim 6, further comprising determining the first region based on at least one of a GPS signal, an IP address, a device language, and a browser language.

9. The method of claim 1, further comprising associating a country identifier with the label genre.

10. The method of claim 9, wherein the first mapping rule is based at least in part upon the country identifier.

11. The method of claim 9, wherein the second mapping rule is based at least in part upon the country identifier.

12. The method of claim 1, further comprising:

receiving a user preference for a music genre that differs from the first of the at least one regional genre;

storing an indication of the user preference; and

modifying a representation of the media store on the electronic device of the consumer based on the user preference and the first of the at least one regional genre.

13. The method of claim 1, further comprising:

determining that the consumer prefers a second of the at least one regional genre based on at least one feature associated with the consumer;

generating a recommendation for the consumer that offers the consumer the ability to select the second of the at least one regional genre despite the consumer being in the first region;

receiving a selection of the second of the at least one regional genre; and

modifying a representation of the media store on the electronic device of the consumer to show the second of the at least one regional genre.

14. The method of claim 1, further comprising:

receiving, by the digital media store, a second song from an independent artist for which no label genre is provided;

classifying a music genre for the second song based on at least one of;

demographic information about the independent artist, a machine learning technique applied to the second song, a description of the second song provided by the independent artist, and a location from which the second song sent;

generating a recommendation for a second label genre for the second song;

receiving a selection of the second label genre for the second song;

applying a third mapping rule to convert the second label genre a second of the plurality of canonical genres; and

associating a third song from the independent artist for which no label genre is provided with the second label.

15. The method of claim 1, further comprising receiving an indication from the consumer of a consumer-identified genre for the song.

16. The method of claim 15, further comprising modifying the first mapping rule based upon the consumer-identified genre for the song.

17. The method of claim 15, further comprising modifying the second mapping rule based upon the consumer-identified genre for the song.

18. A system, comprising:

a database for storing at least one of a label genre, a plurality of canonical genres, and at least one regional genre;

a processor connected to the database, configured to;

receive, by a digital media store, a song from a music label for which the music label has assigned a label genre;

apply a first mapping rule to convert the label genre to a first one of the plurality of canonical genres, wherein every music genre submitted to the digital media store maps to exactly one of the plurality of canonical genres;

apply a second mapping rule to convert the first one of the plurality of canonical genres to at least one regional genre, wherein each of the at least one regional genre corresponds to a subset of the plurality of canonical genres available in a first region; and

provide, to an electronic device of a consumer browsing the media store, a first of the at least one regional genre.

19. The system of claim 18, wherein at least one of the first mapping rule and the second mapping rule is derived from a machine learning technique applied to a plurality of songs, wherein the machine learning technique comprises a digital analysis of a plurality of features of the plurality of songs.

20. The system of claim 18, the processor further configured to:

receive a second label genre that is undefined in the plurality of canonical genres;

determine that the second label is distinct from the each of the plurality of canonical genres; and

generate a new canonical genre based on the second label genre.

21. The system of claim 20, wherein the generating the new canonical genre comprises receiving a definition of the new canonical genre.

22. The system of claim 18, the processor further configured to:

generate a translation of the at least one regional genre for display by the media store; and

provide, to the electronic device of the consumer browsing the media store, the translation.

23. The system of claim 22, the processor further configured to:

obtain an indication of the first region associated with the electronic device of the consumer, and

select the first of the at least one regional genre and the translation based on the indication of the first region associated with the electronic device.

24. The system of claim 23, the processor further configured to:

receive a request from the electronic device of the consumer to convert the media store to a second region; and

provide, to the electronic device of the consumer browsing the media store, a second of the at least one regional genre and the translation.

25. The system of claim 23, the processor further configured to determine the first region based on at least one of a GPS signal, an IP address, a device language, and a browser language.

26. The system of claim 18, the processor further configured to associate a country identifier with the label genre.

27. The system of claim 26, wherein the first mapping rule is based at least in part upon the country identifier.

28. The system of claim 26, wherein the second mapping rule is based at least in part upon the country identifier.

29. The system of claim 18, the processor further configured to:

receive a user preference for a music genre that differs from the first of the at least one regional genre;

store an indication of the user preference; and

modify a representation of the media store on the electronic device of the consumer based on the user preference and the first of the at least one regional genre.

30. The system of claim 18, the processor further configured to:

determine that the consumer prefers a second of the at least one regional genre based on at least one feature associated with the consumer;

generate a recommendation for the consumer that offers the consumer the ability to select the second of the at least one regional genre despite the consumer being in the first region;

receiving a selection of the second of the at least one regional genre; and

modifying a representation of the media store on the electronic device of the consumer to show the second of the at least one regional genre.

31. The system of claim 18, the processor further configured to:

receive, by the digital media store, a second song from an independent artist for which no label genre is provided;

classify a music genre for the second song based on at least one of;

demographic information about the independent artist, a machine learning technique applied to the second song, a description of the second song provided by the independent artist, and a location from which the second song sent;

generate a recommendation for a second label genre for the second song;

receive a selection of the second label genre for the second song;

apply a third mapping rule to convert the second label genre a second of the plurality of canonical genres; and

associate a third song from the independent artist for which no label genre is provided with the second label.

32. The system of claim 18, the processor further configured to receive an indication from the consumer of a consumer-identified genre for the song.

33. The system of claim 32, the processor further configured to modify the first mapping rule based upon the consumer-identified genre for the song.

34. The system of claim 32, the processor further configured to modify the second mapping rule based upon the consumer-identified genre for the song.