UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFN06010


Registration ID:
404028

Page Number

68-73

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Title

ITEM TO ITEM BASED RECOMMENDATION BASED ON PRODUCT DESCRIPTION

Abstract

Buying patterns are habits and routines that consumers establish through the products and services they buy. Sentiment analysis which is also referred to as opinion mining is an approach to natural language processing that identifies the emotional tone behind a body of text. Item to item base recommendation based on product description refers to recommendation of items to consumers based on the description of products. This can be used by many businesses effectively to make consumers buy more of their products by recommending items that might be of interest to the consumers. It is also useful to consumers in easily finding items that they need in the vast arena with large quantity of products. This study focuses on recommendation of items to customers based on their interests. The items that have the highest chances of being liked and preferred by the customer are being recommended based on their past buying patterns.

Key Words

Buying pattern, Sentiment analysis, item to item based recommendations.

Cite This Article

"ITEM TO ITEM BASED RECOMMENDATION BASED ON PRODUCT DESCRIPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.68-73, June-2022, Available :http://www.jetir.org/papers/JETIRFN06010.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

"ITEM TO ITEM BASED RECOMMENDATION BASED ON PRODUCT DESCRIPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp68-73, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06010.pdf

Publication Details

Published Paper ID: JETIRFN06010
Registration ID: 404028
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 68-73
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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