News Updates Thursday 3rd Apr 2025 :

Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors

E-Commerce Recommendation Method based on Collaborative Filtering Technology


Author : Vipul Narayan, R.K.Mehta, Mahendra Rai &, Ashish Gupta, Madhu Singh, Swati Verma, Ankita Patel, Shristhi Yadav

Pages : 974-982
Download PDF
Abstract

In this paper author we discuss about e-commerce- commerce rapidly increase the life style of people. E-commerce is an online site where the sale or purchases of goods are ordered electronically. In the e-commerce we find the correlation between temporal evaluation and consuming behavior from a large amount of data. After this e-commerce has some problem recommendation so we use collaborative filtering method where we discuss about it. In collaborative filtering method where two users have the same ranking of their product then they gain similar preferences. Then sentiment analysis where we found the opinion reviews of user through the web content. In the sentiment analysis, we implement a tool to find out the polarity of opinion in reviews. The polarity is finding in order of positive, negative and neutral.

Keywords: E-commerce, collaborative filtering, sentimental analysis, recommender system.

Article published in International Journal of Current Engineering and Technology, Vol.7, No.3 (June-2017)

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved