UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1802214


Registration ID:
180408

Page Number

1183-1189

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Title

Recommendation System using Data Mining and Clustering Techniques

Abstract

Today, there is a massive variety of various strategies and algorithms of data filtering and recommendations giving. In this paper we describe traditional techniques and give an explanation for what type of present day strategies have been evolved lately. All the paper long we can try and provide an explanation for strategies and their problems. In the end we are able to display proposed approach which assists to generate higher recommendations to user. Throughout this paper we design a new technique that overcomes the data-sparsity disadvantage and get better the performance accuracy.

Key Words

Recommendation System, Clustering, Recommendation methods

Cite This Article

"Recommendation System using Data Mining and Clustering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.1183-1189, March-2018, Available :http://www.jetir.org/papers/JETIR1802214.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

"Recommendation System using Data Mining and Clustering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp1183-1189, March-2018, Available at : http://www.jetir.org/papers/JETIR1802214.pdf

Publication Details

Published Paper ID: JETIR1802214
Registration ID: 180408
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 1183-1189
Country: Nashik, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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