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, including identifying an optimal content volume for the consumer and improvements for optimizing with multiple objectives. A practical algorithm for generating the optimal distribution for each consumer is provided.

翻译：本文描述了一种机制，用于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。当媒体源在确定最优内容分发策略以最大化个体消费者效用和参与度时，将过度覆盖的影响纳入成本函数考量，即可实现最优解。该结果形成了生产者与消费者之间的纳什均衡，且同时满足帕累托效率。与推荐系统相关文献的对比突显了本机制的优势，包括为消费者确定最优内容量以及改进多目标优化效果。本文还提供了一种为每位消费者生成最优分发策略的实用算法。