推荐系统评价指标综述

摘要

对现有的推荐系统评价指标进行了系统的回顾,总结了推荐系统评价指标的最新研究进展,从准确度、多样性、新颖性及覆盖率等方面进行多角度阐述,并对各自的优缺点以及适用环境进行了深入的分析.特别讨论了基于排序加权的指标,强调了推荐列表中商品排序对推荐评价的影响.最后对以用户体验为中心的推荐系统进行了详细的讨论,并指出了一些可能的发展方向.%In this article, the existed evaluation metrics for recommender systems are reviewed and the new progresses in this field are summarized from four aspects: accuracy, diversity, novelty and coverage. The merits, weaknesses and applicable conditions of different evaluation metrics are analized. The focus is concentrated on the importance of rank and some representative rank-sensitive metrics. The user-centric recommender systems are discussed and some important open problems are outlined as future possible directions.