A Study on User's Satisfaction Towards AI Powered Product Recommendation with Special Refference to Coimbatore City
The advent of Artificial Intelligence (AI) has revolutionized the e-commerce landscape with personalized productrecommendations. This study investigates user satisfaction towards AI-powered product recommendations, examiningthe impact of recommendation accuracy, interface usability, and trust on overall satisfaction. A survey of 70 onlineshoppers revealed significant correlations between recommendation relevance, user experience, and satisfaction.Results show that AI-powered recommendations increase user engagement, purchase intentions, and loyalty.However, concerns regarding data privacy and algorithm transparency emerge as critical factors influencing user trust.This research contributes to the understanding of AI-driven recommendation systems' effectiveness and highlightsareas for improvement to enhance user satisfaction
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-26
- DOI
- https://doi.org/10.5281/zenodo.14220303
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00