A mechanism is described that addresses the fundamental trade off between media producers who want to increase reach and consumers who provide attention based on the rate of utility received, and where overreach negatively impacts that rate. An optimal solution can be achieved when the media source considers the impact of overreach in a cost function used in determining the optimal distribution of content to maximize individual consumer utility and participation. The result is a Nash equilibrium between producer and consumer that is also Pareto efficient. Comparison with the literature on Recommender systems highlights the advantages of the mechanism.The review suggests advancements over that literature including identifying an optimal content volume for the consumer and improvements for handling multiple objectives A practical algorithm to generate the optimal distribution for each consumer is provided.

翻译：本文描述了一种机制，旨在解决媒体生产者希望扩大覆盖范围与消费者基于所获效用率提供注意力之间的根本权衡问题，其中过度覆盖会对该效用率产生负面影响。当媒体源在用于确定最优内容分发的成本函数中考虑过度覆盖的影响，以最大化个体消费者效用和参与度时，即可实现最优解。其结果是生产者与消费者之间达到纳什均衡，且该均衡同时满足帕累托效率。与推荐系统相关文献的比较突显了该机制的优势。综述表明，该机制相较于现有文献有所推进，包括确定了消费者的最优内容量以及改进了多目标处理能力。本文还提供了一种为每位消费者生成最优分发方案的实用算法。