1987 - 2022年推荐系统研究的文献计量分析与科学映射

Oladipupo O. Olufunke, Otavie Okuoyo
{"title":"1987 - 2022年推荐系统研究的文献计量分析与科学映射","authors":"Oladipupo O. Olufunke, Otavie Okuoyo","doi":"10.1109/SEB-SDG57117.2023.10124525","DOIUrl":null,"url":null,"abstract":"This paper presents a bibliometric analysis and science mapping study of recommendation systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 Scopus-indexed papers from 1987 to 2022 to uncover publishing trends and evaluate the performance of researchers, journals, articles, institutions and countries in this domain. The study found that the United States, Spain and the United Kingdom produced high-quality research with high citation-to-publication ratios. China had the most publication and the highest level of international collaboration. African countries such as Nigeria, Tunisia, Algeria, Egypt and others lag in publications, institutions, citations, and collaborations with developed countries. Joseph Konstan, John Riedl, Bamshad Mobasher, Robin Burke, Francesco Ricci, and Yehuda Koren were identified as leading researchers in the field. Recommendation systems are crucial for social media, e-commerce, and e-learning and high-performing algorithms are needed to help people find relevant, personalized information. The results of this study could help researchers and scholars find potential collaborators, and understand current trends and future directions in recommender system-related journals more quickly.","PeriodicalId":185729,"journal":{"name":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022\",\"authors\":\"Oladipupo O. Olufunke, Otavie Okuoyo\",\"doi\":\"10.1109/SEB-SDG57117.2023.10124525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a bibliometric analysis and science mapping study of recommendation systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 Scopus-indexed papers from 1987 to 2022 to uncover publishing trends and evaluate the performance of researchers, journals, articles, institutions and countries in this domain. The study found that the United States, Spain and the United Kingdom produced high-quality research with high citation-to-publication ratios. China had the most publication and the highest level of international collaboration. African countries such as Nigeria, Tunisia, Algeria, Egypt and others lag in publications, institutions, citations, and collaborations with developed countries. Joseph Konstan, John Riedl, Bamshad Mobasher, Robin Burke, Francesco Ricci, and Yehuda Koren were identified as leading researchers in the field. Recommendation systems are crucial for social media, e-commerce, and e-learning and high-performing algorithms are needed to help people find relevant, personalized information. The results of this study could help researchers and scholars find potential collaborators, and understand current trends and future directions in recommender system-related journals more quickly.\",\"PeriodicalId\":185729,\"journal\":{\"name\":\"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)\",\"volume\":\"354 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEB-SDG57117.2023.10124525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEB-SDG57117.2023.10124525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文利用VOSviewer和Bibliometrix-R包工具对推荐系统(RS)进行了文献计量分析和科学制图研究。该研究分析了1987年至2022年期间以scopus为索引的9232篇论文,以揭示出版趋势,并评估研究人员、期刊、文章、机构和国家在这一领域的表现。该研究发现,美国、西班牙和英国的高质量研究具有较高的引用发表比。中国的论文发表量最多,国际合作水平最高。尼日利亚、突尼斯、阿尔及利亚、埃及等非洲国家在出版物、机构、引文以及与发达国家的合作方面落后。Joseph Konstan、John Riedl、Bamshad Mobasher、Robin Burke、Francesco Ricci、Yehuda Koren被认为是该领域的领军人物。推荐系统对社交媒体、电子商务和电子学习至关重要,需要高性能算法来帮助人们找到相关的、个性化的信息。本研究的结果可以帮助研究人员和学者找到潜在的合作者,并更快地了解推荐系统相关期刊的当前趋势和未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022
This paper presents a bibliometric analysis and science mapping study of recommendation systems (RS) using VOSviewer and Bibliometrix-R package tools. The study analysed 9,232 Scopus-indexed papers from 1987 to 2022 to uncover publishing trends and evaluate the performance of researchers, journals, articles, institutions and countries in this domain. The study found that the United States, Spain and the United Kingdom produced high-quality research with high citation-to-publication ratios. China had the most publication and the highest level of international collaboration. African countries such as Nigeria, Tunisia, Algeria, Egypt and others lag in publications, institutions, citations, and collaborations with developed countries. Joseph Konstan, John Riedl, Bamshad Mobasher, Robin Burke, Francesco Ricci, and Yehuda Koren were identified as leading researchers in the field. Recommendation systems are crucial for social media, e-commerce, and e-learning and high-performing algorithms are needed to help people find relevant, personalized information. The results of this study could help researchers and scholars find potential collaborators, and understand current trends and future directions in recommender system-related journals more quickly.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信