UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2006396


Registration ID:
234609

Page Number

382-386

Share This Article


Jetir RMS

Title

Comment Based Product Recommendation System using Association Rule Approach and Naive Bayes Algorithm

Abstract

Recommendation System have emerged rapidly in the past decade. Recommendation systems on E-commerce websites helps consumer to find products. A recommendation systems learns consumer behavior in order to suggest products to those consumers. Recommendation system allow consumer to have new experience discovering new products rather than needing to search for them. When making purchase decisions consumer often use the comments left by previous buyers to help them. We are going to research on Recommendation system that can help the use to find the better product from large data set.

Key Words

Recommendation System, Association Rule Mining, K-Means Algorithm, Naive Bayes Algorithm

Cite This Article

"Comment Based Product Recommendation System using Association Rule Approach and Naive Bayes Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.382-386, June-2020, Available :http://www.jetir.org/papers/JETIR2006396.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Comment Based Product Recommendation System using Association Rule Approach and Naive Bayes Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp382-386, June-2020, Available at : http://www.jetir.org/papers/JETIR2006396.pdf

Publication Details

Published Paper ID: JETIR2006396
Registration ID: 234609
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 382-386
Country: KALOL, GUJARAT, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003133

Print This Page

Current Call For Paper

Jetir RMS