Recommendations in augmented reality-based furniture shopping application
Department of Computer Science and Engineering (Data Science), Dwarkadas J. Sanghvi College of Engineering, Mumbai, India.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 19(03), 103–111.
Article DOI: 10.30574/gjeta.2024.19.3.0102
Publication history:
Received on 07 May 2024; revised on 16 June 2024; accepted on 18 June 2024
Abstract:
In today's e-commerce landscape, technological innovations are reshaping traditional shopping experiences. Augmented Reality (AR) has emerged as a pivotal tool, offering immersive solutions for online furniture shopping. By enabling users to visualize furniture in their own spaces, AR mitigates uncertainties and enhances decision-making. Integrated with personalized recommendation systems, AR transforms the shopping process into a tailored experience, considering user preferences and room characteristics. Through testing, to evaluate the effectiveness in enhancing user satisfaction and streamlining the shopping journey. These findings underscore the transformative potential of AR and personalized recommendations, paving the way for future advancements in e-commerce and consumer experience optimization.
Keywords:
Augmented Reality; Space Compatibility; Color Compatibility; Personalized Recommendations
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0