Journal Press India^®

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This study offers deep analysis of the literature concerning chatbots and recommendation algorithms in e-commerce, covering a timeline from 2004 to 2024. A complete literature review and bibliometric analysis of 454 articles from the Web of Science and Scopus databases reveal remarkable patterns and understanding. In particular, since 2016, with the improvement of artificial intelligence and the expansion of consumer use of these technologies, research output has increased intensely. It also highlighted popular theoretical frameworks such as the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. However, the study has certain limitations, which include possible biases in the data sources and the omission of articles written in languages other than English, this study provides a systematic picture of how chatbots and personalized suggestions are developing in e-commerce. In the end, this study clarifies the details of chatbots and recommendation systems in e-commerce and offers perceptive avenues for further research in this ever-evolving area.

Keywords

Recommendation systems; Chatbots; Bibliometric analysis; Systematic literature review; Artificial intelligence

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