Machine learning model continuous training system

A method comprising:

• training a machine learning model by performing a set of operations comprising:
• accessing media content items associated with interaction functions initiated by users of an interaction system, wherein the media content items comprise images, videos, or content augmentations of the users posted on the interaction system enabling other users to view the posted media content items;
• generating training data including labels for the media content items, wherein the labels are indicative of one or more characteristics of the media content items;
• extracting features from a media content item of the media content items;
• identifying additional media content items to include in the training data based on the extracted features from the media content item;
• processing the training data using a machine learning model to generate a media content item output;
• and
• updating one or more parameters of the machine learning model based on the media content item output;
• and
• repeating the set of operations to retrain the machine learning model based on a retraining criterion being met.

A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• training a machine learning model by performing a set of operations comprising:
• accessing media content items associated with interaction functions initiated by users of an interaction system, wherein the media content items comprise images, videos, or content augmentations of the users posted on the interaction system enabling other users to view the posted media content items;
• generating training data including labels for the media content items, wherein the labels are indicative of one or more characteristics of the media content items;
• extracting features from a media content item of the media content items;
• identifying additional media content items to include in the training data based on the extracted features from the media content item;
• processing the training data using a machine learning model to generate a media content item output;
• and
• updating one or more parameters of the machine learning model based on the media content item output;
• and
• repeating the set of operations to retrain the machine learning model based on a retraining criterion being met.