Automated image processing and content curation

A server computer system comprising:

• a memory;
• and
• one or more processors coupled to the memory and configured to perform operations comprising:
• receiving a content message from a first content source of a plurality of content sources, the content message comprising media content;
• analyzing the content message to determine context values comprising one or more quality scores and one or more content values associated with the content message;
• storing the content message in a database along with the one or more quality scores and the one or more content values;
• analyzing the content message with a plurality of content collections of the database to identify a match between at least one of the content values and a topic associated with at least a first content collection of the plurality of content collections;
• and
• automatically adding the content message to the first content collection based at least in part on the match,
• wherein the one or more quality values comprise an interestingness value based on predicting an expected user interest in the content message, and
• wherein the interestingness value is generated using a neural network generated using a training set of content messages identified as interesting, the neural network comprising a feature map including a set of content features and a set of quality features.

A non-transitory computer readable medium comprising instructions that, when executed by one or more processors, cause a server computer system to perform operations comprising:

• receiving a content message from a first content source of a plurality of content sources, the content message comprising media content;
• analyzing the content message to determine context values comprising one or more quality scores and one or more content values associated with the content message;
• storing the content message in a database along with the one or more quality scores and the one or more content values;
• analyzing the content message with a plurality of content collections of the database to identify a match between at least one of the content values and a topic associated with at least a first content collection of the plurality of content collections;
• and
• automatically adding the content message to the first content collection based at least in part on the match,
• wherein the one or more quality values comprise an interestingness value based on predicting an expected user interest in the content message, and
• wherein the interestingness value is generated using a neural network generated using a training set of content messages identified as interesting, the neural network comprising a feature map including a set of content features and a set of quality features.