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Engaging all content providers, including newcomers or minority demographicgroups, is crucial for online platforms to keep growing and working. Hence,while building recommendation services, the interests of those providers shouldbe valued. In this paper, we consider providers as grouped based on a commoncharacteristic in settings in which certain provider groups have lowrepresentation of items in the catalog and, thus, in the user interactions.Then, we envision a scenario wherein platform owners seek to control the degreeof exposure to such groups in the recommendation process. To support thisscenario, we rely on disparate exposure measures that characterize the gapbetween the share of recommendations given to groups and the target level ofexposure pursued by the platform owners. We then propose a re-ranking procedurethat ensures desired levels of exposure are met. Experiments show that, whilesupporting certain groups of providers by rendering them with the targetexposure, beyond-accuracy objectives experience significant gains withnegligible impact in recommendation utility.

Regulating Group Exposure for Item Providers in Recommendation