Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Empowering E-commerce: Leveraging Open AI and Sentiment Analysis for Smarter Recommendations Subject The topic of the resource chatbot; Langchain; OpenAI; performance; Product recommendation system; sentiment analysis; user reviews Description An account of the resource Online product reviews are pivotal in shaping consumer purchasing decisions in today's digital era. Leveraging the wealth of sentiment-rich data available through these reviews, this research proposes an approach to enhance product recommendation systems. This study integrates sentiment analysis techniques into the recommendation process to provide users with more personalized and insightful product recommendations. By analyzing the sentiment expressed in user-generated content, such as reviews and ratings, this system aims to capture not only the explicit preferences but also the underlying sentiments and emotions of users towards products. Furthermore, this system utilizes OpenAI and the power of Langchain to develop a chatbot interface, enabling users to interact naturally and receive personalized product recommendations based on their preferences and sentiment analysis. Through experimentation on real-world datasets, this paper evaluates the effectiveness and performance of the sentiment-enhanced recommendation system compared to traditional recommendation methods. The results demonstrate the potential of sentiment analysis in improving the relevance, accuracy, and user satisfaction of product recommendations. 2024 IEEE. Creator An entity primarily responsible for making the resource Giri Y.; Bhagat V.; Ganie A.H. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10739003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10739003</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211093162&amp;doi=10.1109%2FICEECT61758.2024.10739003&amp;partnerID=40&amp;md5=f5c843b95958f99bd7d01cdb1f452c4b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211093162&amp;doi=10.1109%2fICEECT61758.2024.10739003&amp;partnerID=40&amp;md5=f5c843b95958f99bd7d01cdb1f452c4b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Giri Y., Christ University, Department of Data Science, Bangalore, India; Bhagat V., Christ University, Department of Data Science, Bangalore, India; Ganie A.H., Christ University, Department of Data Science, Bangalore, India