Abstract
In order to fully recognize the research status and development trend of the recommendation system, by using the software CiteSpace, taking reference to the literature in the recommendation system from 2012 to 2021 collected by the database Web of Science, this paper is to analyze the overall distribution characteristics on the years, journals, countries/regions, institutions/authors, important documents, research hotspots/research frontiers via the literature statistics and the visualization. As the result, there is going to be a knowledge map to be drawn to provide references for the researchers of the recommendation system.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China Youth Fund under Grant No.61902001 and the Open Project of Shanghai Big Data Management System Engineering Research Center under Grant No.40500–21203-542500/021. All opinions, findings, conclusions and recommendations in this paper are those of the authors and do not necessarily reflect the views of the funding agencies.
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Zhang, Y., Wan, N., Kong, C. (2023). Visualization Analysis on the Research Status and Trend of Recommendation System. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_23
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DOI: https://doi.org/10.1007/978-981-99-2443-1_23
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