• Ayush Jain

Abstract—Recommendation systems are changing novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Most of the reputed and large MNCs are already using these technology to increase their sales and mass customization all over the world. A system which will take inputs from customer and will provide best and fast service to its clients. This paper aims to research the requirements which will help recommendation AI to become more precise and valuable. In this paper we try to explain a taxonomy of recommender system based on the existing technology, including call to upgrade on system accuracy rate, instant troubleshoot and its interface(extended). Secondly this paper is also useful for academics purposes such as study of multiple recommendation approaches , techniques and its working. The detailed explanation is included about its types, benefits, problems faced during implementation and various aspects on which recommendation system model is evaluated.

Recommendation system, instant troubleshoot, mass troubleshoot, interface, Explainable AI, accuracy rate

"Recommendation System on E-Commerce Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.a787-a792, May-2024, Available :http://www.jetir.org/papers/JETIR2405093.pdf

"Recommendation System on E-Commerce Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppa787-a792, May-2024, Available at : http://www.jetir.org/papers/JETIR2405093.pdf