摘要
通过整理分析国内外近15年在协同推荐领域的典型文献,系统地回顾协同过滤推荐算法的的研究关注点、国内的研究脉络和发展规律、国内外研究存在的明显相似共性和局部差异性.文中主要运用Citespace可视化工具,使用科学计量学的分析方法,对采集的CNKI核心期刊数据和WOS数据整理后进行文献共被引分析和关键词主题词聚类共现分析,绘制出推荐算法关键词演进图谱.通过以上分析对比工作,为我国协同过滤推荐算法相关的研究,提供研究现状和进展的参考.
This paper collates and analyzes the typical literature in the field of collaborative recommendation at home and abroad for nearly 15 years,systematically review the research concerns of collaborative filtering recommendation algorithm,domestic research context and development of the law,there are obvious similarities and local differences in the research at home and abroad.This article mainly uses Citespace visualization tool and scientific metrology analysis method to analyze the data which were collected and sorted out from CNKI core journal data and WOS data,consisting of literature cited analysis and key words keyword clustering co-occurrence analysis,drawing the recommended algorithm keyword evolution map.Through the above analysis and comparison work,we can provide the reference in research status and progress for our collaborative filtering recommended algorithm research.
作者
陈海蛟
努尔布力
CHEN Hai-jiao, Nurbol(College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China)
出处
《小型微型计算机系统》
CSCD
北大核心
2018年第4期814-819,共6页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61303231)资助
国家自然基金重点项目(重大联合)(61433012(U1435215))资助
关键词
推荐算法
协同过滤推荐算法
可视化分析
科学计量学
差异性
recommendation algorithm
collaborative filtering recommendation algorithm
visualization analysis
scientometrics
the differences