%0 Journal Article
%T 个性化推荐系统中的多样性综述<br>A Survey of Diversity in Personalized Recommendation Systems
%A 姜书浩
%A 张立毅
%A 周娜
%J Software Engineering and Applications
%P 172-178
%@ 2325-2278
%D 2019
%I Hans Publishing
%R 10.12677/SEA.2019.83021
%X 多样性已成为推荐系统研究的主要方向之一，提高推荐内容的多样性不仅是解决过度拟合问题的重要方法，也是提高用户体验满意度的方法。为了更好地阐述推荐多样性领域的工作，本文分别从多样性的定义和评价、多样性对推荐质量的影响以及多样化算法本身的发展三个方面对多样性推荐进行了介绍。<br />
Diversity has become one of the main directions of recommendation system research. Improving the diversity of recommendation content is not only an important way to solve the problem of over-fitting, but also a way to improve user’s experience satisfaction. In order to elaborate the work in the field of recommendation diversity, this paper introduces diversity recommendation from three aspects: the definition and evaluation of diversity, the impact of diversity on recommendation quality and the development of diversity algorithm.<br />
%K 个性化推荐，多样性，推荐质量，推荐算法<br>Personalized Recommendation
%K Diversity
%K Recommendation Quality
%K Evaluation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=31090