Paper Info
Title
A Framework for Fake Review Detection: Issues and Challenges
Abstract
With evolution of 4G and availability of wireless Internet access at a much higher speed, makes it possible for developing countries to use E-commerce for getting product and services. As each and every company now-a-days have presence in online mode of marketing, getting the right product as well as service is also tough. This leads to the importance of online reviews on the Internet. For taking purchase as well as financial decisions, every individual have to depend on online reviews. Online reviews given by users regarding a particular product or service may not be always genuine. Some companies as well as individuals trick the reviews to promote a specific product or brand and demote its competitors. A little has been done in past to address this issue and still companies as well as researches are trying to get-rid of this. In this work, we have tried our best to summarize the overall issues as well as challenges for detection of fake reviews as well as fake reviewers. Finally, a framework has been proposed to deal with fake reviews.
Year
DOI
Venue
2018
10.1109/ICIT.2018.00014
2018 International Conference on Information Technology (ICIT)
Keywords
Field
DocType
Data models,Information technology,Real-time systems,Feature extraction,Unsupervised learning,Anomaly detection,Syntactics
Data science,Computer science,Computer network
Conference
ISBN
Citations 
PageRank 
978-1-7281-0259-7
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Jitendra Kumar Rout1182.95
Amiya Kumar Dash201.35
Niranjan Kumar Ray3205.21