推荐系统领域研究现状分析

Analysis on Research Status of Recommender Systems

[目的/意义]旨在为促进推荐系统领域研究向纵深发展提供参考。[方法/过程]以Web of Science数据库中1997—2017年收录的推荐系统主题的文献数据为研究对象,借助可视化分析软件HistCite和Pajek,从出版年、核心机构、核心作者、核心期刊、核心文献、引文时序等角度分析推荐系统领域的研究现状。[结果/结论]推荐系统领域是一个热门的交叉研究领域;推荐系统领域已出现一批核心机构、核心作者、核心期刊以及核心文献;推荐系统领域的研究问题日趋复杂、目标日渐多元、研究方法日益多样。

[Purpose/significance]The paper is to provide reference for promoting recommender systems research developing in depth and breadth.[Method/process]The paper takes the documents on recommender systems collected in Web of Science published in 1997-2017 as research objects,by the visual softwares of HistCite and Pajek,analyzes the research status from the aspects of publication year,core institutions,core authors,core journals,core documents,and citation sequences.[Result/conclusion]It is found that:(1)The field of recommender system is a hot cross-disciplinary research field;(2)A number of core institutions,core authors,core journal,and core documents have emerged in this field;(3)The research issues in the field of recommended systems are becoming increasingly complex,with increasingly diversified objectives and increasingly diverse research methods.