首先,我们知道,推荐算法就是一个信息过滤器,其为每个物品分配曝光资源,那么我们量化这个过程,可以用一个二维曝光资源分配矩阵E来描述,一个维度是U(用户),一个维度是I物品,在这个矩阵上,分布着用户给到每个物品具体多少曝光资源即A(u,i),那么在这个矩阵上,如果基于某些公平理念,自然会有一个理想曝光分布,也就是...
consumers and producers. Specifically, we consider group attributes for both types of stakeholders to identify and mitigate fairness concerns that go beyond individual users and items towards more systemic biases in recommendation. Furthermore, we study and discuss the relationships between the different ...
To address these limitations, we propose a multiobjective optimization framework for fairness-aware recommendation, Multi-FR, that adaptively balances accuracy and fairness for various stakeholders with Pareto optimality guarantee. We first propose four fairness const...
we propose a multiobjective optimization framework for fairness-aware recommendation, Multi-FR, that adaptively balances accuracy and fairness for various stakeholders with Pareto optimality guarantee. We first propose four fairness constraints on consumers and producers. In or...