摘要
【目的/意义】为了探析推荐系统中用户模型的研究热点,本文以近十年国内208篇核心文献为研究样本,系统、规范地分析了关于推荐系统用户模型的研究近况,以期为推荐系统用户建模的未来研究方向提供参考。【方法/过程】文章分别利用SATI、Ucinet和SPSS软件进行高频关键词共现、知识图谱和聚类分析。【结果/结论】高频关键词的聚类分析结果显示,我国推荐系统用户模型研究的热点主要有4个分支主题:模型表示、模型学习、模型更新、模型应用;研究启示主要有:加强用户模型表示方法的组合使用,促进综合模型构建;融合多场景、跨系统更新用户模型,实现用户模型的复用;强化用户模型的个性化应用,提高用户个性化推荐服务质量;注重用户模型多维度研究,提高资源精准推荐效果。
【Purpose/significance】In order to explore the hotspots of user model research of recommendation system,this paper takes 208 domestic core literatures in recent ten years as research samples,systematically and normatively analyzes the recent research situation of recommendation system user model,in the hope of providing references for the future research direction of recommendation system user modeling.【Method/process】In this paper,SATI,Ucinet and SPSS are used to analyze the co-occurrence,knowledge map and clustering of high-frequency keywords.【Result/conclusion】The results of clustering analysis of high-frequency keywords show that the research hotspot of recommendation system user model in China mainly includes four sub-topics:model representation,model learning,model updating,model application.The research enlightenment mainly includes the following aspects:researchers should enhance the combination of user model representation methods,and promote the construction of comprehensive model;they should integrate multiple scenarios,update user models across systems,and reuse user models;they should strengthen the personalized application of user model,and improve the service quality of personalized recommendation;they should pay attention to multi-dimension research of user model,and improve the accurate recommendation effect of resources.
作者
周琴英
杨文正
ZHOU Qin-ying;YANG Wen-zheng(School of Information Science and Technology,Yunnan Normal University,Kunming 650500,China)
出处
《情报科学》
CSSCI
北大核心
2020年第9期166-173,共8页
Information Science
基金
国家自然科学基金项目“民族地区优质数字教育资源均等化配置机制研究:系统动力学建模与政策仿真”(71764036)
中国博士后科学基金第11批特别资助项目“数字教育资源精准服务模式及关键技术研究”(2018T111003)
云南省基础研究计划面上项目“数字教育资源精准服务模式及关键技术研究”(2019FB088)。
关键词
推荐系统
用户模型
用户建模
知识图谱
聚类分析
recommendation system
user model
user modeling
knowledge graph
clustering analysis