International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
www.ijprems.com
editor@ijprems.com or Whatsapp at (+91-9098855509)
Paper Details

E-COMMERCE RECOMMENDATION SYSTEM (KEY IJP************115)

  • Punindu Sakra,Prathmesh Shriram,Rachit Bhadade,Sahil Shaikh,Siddhant Patil,Prof. Sachin Dhawas

Abstract

The popularization of todays e-commerce sites made a big impact on IT technologies. Since e-commerce companies want the best experience for their customers, many technologies are involved to create that experience. One way to gain loyal customers is to build recommendations based on the other opinions. Since the best recommendations are based on the customers opinions and experience we can use that knowledge to build a recommendation system. In this research paper we have combined big data technologies with machine learning in order to create the best model for recommending products in e-commerce sites.

DOI Requested
Paper File to download :