Balanced Neighborhoods for Multi-sided Fairness in Recommendation

This paper explores the concept of a balanced neighborhood as a mechanism to preserve personalization in recommendation while enhancing the fairness of recommendation outcomes and shows that a modified version of the Sparse Linear Method can be used to improve the balance of user and item neighborhoods.