Research hotspots and trend analysis of text generation for explainable recommendation based on CiteSpace

Wenjun Meng; Dawei Xu; Runde Yu

doi:10.1117/12.3004812

16 August 2023 Research hotspots and trend analysis of text generation for explainable recommendation based on CiteSpace

Wenjun Meng, Dawei Xu, Runde Yu

Author Affiliations +

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278713 (2023) https://doi.org/10.1117/12.3004812
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

Bibliometric analysis was applied to retrieve the international core journals on the subject of text generation for an explainable recommendation from 2000 to 2022. CiteSpace, a visualization-based analysis tool, was used to analyze the research status and recent development of text generation for explainable recommendations by mapping the co-occurrence of high-frequency keywords and citation bursts. The results show that in the past 22 years, the number of international articles on text generation for an explainable recommendation has been on the rise with more publications especially compared with that in China, calling for further exchange and collaboration among scholars and institutions over the world to facilitate the research progress. “Personalized” recommendation has been exerting its influence in text generation for explainable recommendations, which effectively gain the trust of users, and increase the persuasiveness and satisfaction of the recommendation system by providing recommendations with explainable texts. Text processing in Deep Learning has now been widely used for explainable recommendations and will throw its weight further in the future.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Wenjun Meng, Dawei Xu, and Runde Yu "Research hotspots and trend analysis of text generation for explainable recommendation based on CiteSpace", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278713 (16 August 2023); https://doi.org/10.1117/12.3004812

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