Abstract: Techniques are disclosed for generating personalized creator recommendations to viewers interested in viewing and interacting with creative works, in the context of a creative platform for publishing and viewing creative works. For each creator, a vector is generated indicating that creator's creative output with respect to a set of one or more creative fields. For each viewer, a vector is generated indicating that viewer's affinity with respect to the same set of creative fields. For a given viewer, a respective creator score is calculated based upon the vector associated with the viewer and the vector associated with that creator (e.g., based on a vector similarity computation). A ranking of each creator for the given viewer is then performed using the respective score, and a set of one or more personalized recommendations is then provided to the viewer based upon the ranking.

Abstract: Techniques for creator aware and diverse recommendations of digital content are described. In one example, a digital medium environment is configured to allocate an amount of content creator access as part of a service. Based on this content creator access, recommendations of content are generated that prioritize content for recommendations based in part the amount of content creator access. Recommendations are generated further based on a representative diversity preference value that captures a level of interest of a consumer in different categories, resulting in a recommendation that is representatively diverse.