• mayuresh krishna ghodke

Web is accelerating and adjusting how everyday errands like web based shopping, taking care of service bills, watching new films, conveying, and so on, are achieved. For instance, in more established shopping strategies, items were efficiently manufactured for a solitary market and crowd however that approach is at this point not practical. Markets in view of long item and development cycles can never again get by. To remain cutthroat, markets need to give various items and administrations to various customers with various necessities. The shift to web based shopping has made it occupant on makers and retailers to modify for customers' requirements while giving a greater number of choices than were conceivable previously. This, nonetheless, represents an issue for customers who should now break down each contribution to figure out what they really need and will profit from. To help customers in this situation, we examine about normal recommender systems strategies that have been utilized and their related compromises.

"RECOMMENDATION SYSTEM OF E-COMMERCE WEBSITE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.c284-c291, November-2022, Available :http://www.jetir.org/papers/JETIR2211229.pdf

"RECOMMENDATION SYSTEM OF E-COMMERCE WEBSITE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppc284-c291, November-2022, Available at : http://www.jetir.org/papers/JETIR2211229.pdf