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Published in:

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

Unique Identifier

JETIR2006396

Page Number

382-386

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Title

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

ISSN

2349-5162

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

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 | 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
ISSN Number: 2349-5162

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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




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