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

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 corresponding to a first content domain;
• determining, for a respective user a plurality of labels based on the user data, wherein each label of the plurality of labels corresponds to a distinct characteristic of at least (i) contextual information and (ii) content items of the 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, wherein the user embedding is based on the plurality of labels for the respective user;
• determining one or more content items of a plurality of content items of the second content domain consumed by at least one user other than the respective user;
• and
• generating, for each content item of the one or more content items of the plurality of content items of the second content domain consumed by at least one user, a respective content item embedding, wherein the respective content item embedding is based on a respective user embedding of the at least one user;
• determining, using the user embedding and respective content item embeddings of the second content domain, a first content item of a 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.

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 corresponding to a first content domain;
• determining, for a respective user a plurality of labels based on the user data, wherein each label of the plurality of labels corresponds to a distinct characteristic of at least (i) contextual information and (ii) content items of the 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, wherein the user embedding is based on the plurality of labels for the respective user;
• determining one or more content items of a plurality of content items of the second content domain consumed by at least one user other than the respective user;
• and
• generating, for each content item of the one or more content items of the plurality of content items of the second content domain consumed by at least one user, a respective content item embedding, wherein the respective content item embedding is based on a respective user embedding of the at least one user;
• determining, using the user embedding and respective content item embeddings of the second content domain, a first content item of a 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.