The present disclosure provides systems and methods for a user interest profile and recommendations in association with a user profile. In various examples, systems and methods may receive data indicating interaction with content, such as photos, posts, videos, stories, reels, marketplaces or shops, or the like associated with a user profile. An interest extraction module may determine an interest attributed to the user with respect to the content. A machine learning module may develop a set of characteristics associated with the interests. A set of recommendations may be generated based on an association between the set of characteristics and product data associated with a customer. In some examples, a report identifying a user interest profile of the online presence may assist in identifying targeted products and audiences for recommendation via an interactive platform.
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"SYSTEMS AND METHODS FOR GENERATING CONTENT ITEMS VIA MACHINE LEARNING", Technical Disclosure Commons, (July 27, 2023)