Regulating Group Exposure for Item Providers in Recommendation

04/24/2022
by   Mirko Marras, et al.
0

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

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/07/2020

Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems

Considering the impact of recommendations on item providers is one of th...
research
04/01/2022

FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms

Related Item Recommendations (RIRs) are ubiquitous in most online platfo...
research
04/29/2022

Joint Multisided Exposure Fairness for Recommendation

Prior research on exposure fairness in the context of recommender system...
research
08/24/2022

Fair performance-based user recommendation in eCoaching systems

Offering timely support to users in eCoaching systems is a key factor to...
research
05/21/2023

Multi-channel Integrated Recommendation with Exposure Constraints

Integrated recommendation, which aims at jointly recommending heterogene...
research
06/05/2023

Reducing Exposure to Harmful Content via Graph Rewiring

Most media content consumed today is provided by digital platforms that ...
research
06/27/2022

Modeling Content Creator Incentives on Algorithm-Curated Platforms

Content creators compete for user attention. Their reach crucially depen...

Please sign up or login with your details

Forgot password? Click here to reset