Bibliometric and Visual Analysis of Recommendation System Based on CiteSpace
In order to further explore the research status and development trend of recommendation system,this paper uses the method of bibliometrics and CiteSpace visualization software to conduct in-depth research on the research status of recommendation system,revealing the research status,hot spots and frontier trends in this field.From 2000 to 2023,3,168 Chinese journal papers and 12,517 English journal papers were selected from CNKI and WOS databases for visual analysis of study authors,research institutions and key-words.The important knowledge base in this field is determined by the analysis of common reference,and the knowledge flow between disciplines is discussed by the method of double plot superposition.Through the inter-pretation of scientific visual knowledge graph,it is concluded that the research trend of recommendation system mainly focuses on machine learning,data mining and information retrieval.
万方数据
维普
