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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007376

Page Number

597-601

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Title

Pricing Intelligence and Recommendation System

ISSN

2349-5162

Cite This Article

"Pricing Intelligence and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.597-601, July-2020, Available :http://www.jetir.org/papers/JETIR2007376.pdf

Abstract

Guaranteeing the profitability is a significant issue for the creating nations like India, where more than 33% of the individuals is live in neediness. Pricing is the important concept that both the retailers and producers need to keep track in order to be aware of the gaps between the current and the future market. Hence Intelligent pricing is the new technology concept existing in order to help the customers review the products and keep updated with the market trends and their pricing. The emergence of e-commerce websites has enabled users to publish or share purchase experiences by posting product reviews, which usually contain useful opinions, comments and feedback towards a product. In this application we have a tendency to illustrate item-based algorithmic rule and client Review rating algorithmic rule techniques and system will be predict supported the highest overall sellers on a web site, on the demographics of the patron, or on associate degree analysis of the past shopping for behavior of the patron as a prediction for future shopping for behavior. to deal with these problems, we've got explored many cooperative filtering techniques like the item-based approach, that establish relationship between things and indirectly cypher prediction for users supported these relationships and additionally compare things from completely different on-line sites with their rating. The user-based approach was additionally studied; it identifies relationships between users of comparable tastes and computes prediction supported these relationships. The pricing intelligence is showing best costs within the market level.

Key Words

E-Commerce, Pricing Intelligence, Itembased algorithm, Review rating algorithm.

Cite This Article

"Pricing Intelligence and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp597-601, July-2020, Available at : http://www.jetir.org/papers/JETIR2007376.pdf

Publication Details

Published Paper ID: JETIR2007376
Registration ID: 235533
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 597-601
ISSN Number: 2349-5162

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Cite This Article

"Pricing Intelligence and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp597-601, July-2020, Available at : http://www.jetir.org/papers/JETIR2007376.pdf




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