Systems and methods for providing content based on consumption in a distinct domain

1. A computer-implemented method for providing content to a user, comprising:

at a computer having a processor and memory storing instructions for execution by the processor:

obtaining user data for a respective user, including data corresponding to the respective user's consumption of media in a first content domain;

before obtaining, for the respective user, data corresponding to a second content domain distinct from the first content domain:

utilizing a neural network to generate a user embedding for the respective user based on the data corresponding to the respective user's consumption of media in the first content domain;

generating, for each content item of a plurality of content items of the second content domain consumed by at least one user other than the respective user, a respective content item embedding, wherein the respective content item embedding is based on user embeddings of the at least one user other than the respective user;

determining, using the user embedding for the respective user and respective content item embeddings of the second content domain, a first content item of the plurality of content items of the second content domain that meets matching criteria for the respective user; and

providing to a device of the respective user, information that corresponds to the first content item of the plurality of content items of the second content domain.

2. The method of claim 1 , wherein the user data includes at least one of content metadata, collaborative transfer data, and demographic data.

3. The method of claim 2 , wherein the content metadata includes content information corresponding to the first content domain, the content information including at least one of an artist, artist affinity, genre, meta-genre, or micro genre.

4. The method of claim 2 , wherein the collaborative transfer data includes information about a context in which the first content domain is consumed.

5. The method of claim 1 , wherein the user data includes at least two of content metadata, collaborative transfer data, and demographic data.

6. The method of claim 1 , wherein determining the first content item of the plurality of content items of the second content domain that meets matching criteria for the respective user includes determining consumption data corresponding to the plurality of content items of the second content domain for one or more users other than the respective user.

7. The method of claim 1 , wherein determining the first content item of the plurality of content items of the second content domain that meet matching criteria for the respective user includes performing importance sampling on the respective content item embeddings of the second content domain and generating a weighted embedding for the first content item.

8. The method of claim 7 , wherein determining the first content item of the plurality of content items of the second content domain that meet matching criteria for the respective user includes determining the nearest neighbor between the weighted embedding for the first content item and the respective user embedding.

9. The method of claim 1 , wherein the provided information corresponding to the first content item of the plurality of content items of the second content domain is incorporated into the user data corresponding to the respective user.

10. The method of claim 9 , including, prior to incorporating the provided information corresponding to the first content item of the plurality of content items of the second content domain into the user data corresponding to the respective user:

receiving, from a device of the respective user, an indication of a response to the first content item of the plurality of content items of the second content domain; and

including, in the provided information corresponding to the first content item of the plurality of content items of the second content domain, the indication of the response to the first content item of the plurality of content items of the second content domain.

11. The method of claim 10 , wherein the indication of the response to the first content item of the plurality of content items of the second content domain includes at least one of a playback, a subscription corresponding to the first content item of the plurality of content items of the second content domain, a purchase corresponding to the first content item of the plurality of content items of the second content domain, completion of the first content item of the plurality of content items of the second content domain, or feedback for the first content item of the plurality of content items of the second content domain.

12. The method of claim 1 , wherein determining the first content item of the plurality of content items of the second content domain that meets matching criteria for the respective user includes:

determining a respective matching criteria value for a respective content item of one or more content items of the second content domain;

ranking the one or more content items of the second content domain based on a plurality of matching criteria values including the respective matching criteria value; and

wherein the first content item of the plurality of content items of the second content domain is a most highly ranked content item of the second content domain.

13. The method of claim 12 , further comprising:

providing, to the device of the respective user, information corresponding to the one or more ranked content items of the second content domain in descending order based on rank.

14. The method of claim 1 , wherein the first content domain includes music.

15. The method of claim 1 , wherein the second content domain includes podcast content.

16. A server for providing content to a user comprising:

one or more processors; and

memory storing instructions for execution by the one or more processors, the instructions including instructions for:

obtaining user data for a respective user, including data corresponding to the respective user's consumption of media in a first content domain;

before obtaining, for the respective user, data corresponding to a second content domain distinct from the first content domain:

utilizing a neural network to generate a user embedding for the respective user based on the data corresponding to the respective user's consumption of media in the first content domain;

generating, for each content item of a plurality of content items of the second content domain consumed by at least one user other than the respective user, a respective content item embedding, wherein the respective content item embedding is based on user embeddings of the at least one user other than the respective user;

determining, using the user embedding for the respective user and respective content item embeddings of the second content domain, a first content item of the plurality of content items of the second content domain that meets matching criteria for the respective user; and

providing to a device of the respective user, information that corresponds to the first content item of the plurality of content items of the second content domain.

17. The server of claim 16 , wherein the user data includes at least one of content metadata, collaborative transfer data, and demographic data.

18. The server of claim 17 , wherein the content metadata includes content information corresponding to the first content domain, the content information including at least one of an artist, artist affinity, genre, meta-genre, or micro genre.

19. The server of claim 17 , wherein the collaborative transfer data includes information about a context in which the first content domain is consumed.

20. A non-transitory computer-readable storage medium for providing content to a user having one or more processors and memory storing instructions for execution by the one or more processors, the instructions including instructions for:

obtaining user data for a respective user, including data corresponding to the respective user's consumption of media in a first content domain;

before obtaining, for the respective user, data corresponding to a second content domain distinct from the first content domain:

utilizing a neural network to generate a user embedding for the respective user based on the data corresponding to the respective user's consumption of media in the first content domain;

generating, for each content item of a plurality of content items of the second content domain consumed by at least one user other than the respective user, a respective content item embedding, wherein the respective content item embedding is based on user embeddings of the at least one user other than the respective user;

determining, using the user embedding for the respective user and respective content item embeddings of the second content domain, a first content item of the plurality of content items of the second content domain that meets matching criteria for the respective user; and

providing to a device of the respective user, information that corresponds to the first content item of the plurality of content items of the second content domain.