|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Fake Product Identification Using Deep Learning |
| Authors Name: | Rutuja S. Vilayate , Pratibha Borude , Priyanka Shingate , Vaibhavi Fodse , K. S. Hangargi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_209667
|
| Published Paper Id: | IJNRD2312156 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | As the trend to shop online is increasing day by day and more people are interested in buying the products of their need from the online stores. This type of shopping does not take a lot of time of a customer. Customer goes to online store, search the item of his/her need and place the order. But, the thing by which people face difficulty in buying the products from online store is the bad quality of the product. Customer place the order only by looking at the rating and by reading the reviews related to the particular product. Such comments of other people are the source of satisfaction for the new product buyer. Here, it may be possible that the single negative review changes the angle of the customer not to buy that product. In this situation, it might possible that this one review is fake. So, in order to remove this type of fake reviews and provide the users with the original reviews and rating related to the products, we proposed a Fake Product Review Monitoring and Removal System (FaRMS) which is an Intelligent Interface and takes the Uniform Resource Locator (URL) related to products of Amazon, Flipkart and Daraz and analyzes the reviews, and provides the customer with the original rating. It is a unique quality of the proposed system that it works with the three e-commerce Websites and not only analyzes the reviews in English but also the reviews written in Urdu and Roman Urdu. Previous work on fake reviews does not support feature to analyze the reviews written in languages like Urdu and Roman Urdu and cannot handle the reviews of multiple e-commerce Websites. The proposed work achieved the accuracy of 87%in detecting fake reviews of written in English by using intelligent learning techniques which is greater than the accuracy of the previous systems. |
| Keywords: | |
| Cite Article: | "Fake Product Identification Using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.b370-b382, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312156.pdf |
| Downloads: | 000118760 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2312156 Registration ID: 209667 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: b370-b382 Country: Pune, maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312156 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312156 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn