UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 3
March-2019
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:
JETIRAU06043


Registration ID:
202008

Page Number

302-316

Share This Article


Jetir RMS

Title

Describing and Predicting Early Reviewers for Efficient Product Marketing on E -Commerce Sites

Abstract

Now a days, the decision of purchasing an online product is relying on the reviews it get .This paper emphasizes an marketing a product based on its reviews .These reviews are mainly grouped into three types they are premature reviews, matured reviews and late responding reviews. However, this division is done on the basis of time span of a product as it has starting stage, central stage and finishing stage in its sale process. Comparison of these reviews is done on real time E commerce websites for example amazon and yelp. It is known that the impact of premature reviews is high on the customers when compared with matured and late responding reviews. As the product is newly available in the market and based on the reviews the scope of the project in sustaining will be decided. The product is judged as a good product/bad product by depending on its attributes like rating ,number of positive responses, Number of product sold in a specific time and so on.....The implementation of this process is done by collecting the sample datasets of reviews on e commerce websites.

Key Words

premature reviewer, early review, embedding model

Cite This Article

"Describing and Predicting Early Reviewers for Efficient Product Marketing on E -Commerce Sites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.302-316, March-2019, Available :http://www.jetir.org/papers/JETIRAU06043.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

"Describing and Predicting Early Reviewers for Efficient Product Marketing on E -Commerce Sites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp302-316, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06043.pdf

Publication Details

Published Paper ID: JETIRAU06043
Registration ID: 202008
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 302-316
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003023

Print This Page

Current Call For Paper

Jetir RMS