International Journal on Science and Technology

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Combating Seller Fraud in E-Commerce: Insights from a Multiple Instance Learning Approach

Author(s) Gaddam Kavyasri
Country India
Abstract In recent days with the tremendous increase of e-commerce web sites, almost all users are showing their interest in online shopping rather than visiting the shops directly for those items. Opinion mining is one of the important factors to gather the user’s feedback on several items from e-commerce web sites. In a recent survey conducted by a well-known print media e-commerce is growing faster and it is up over ninety five percent compared in the primitive days. As we know that all customers always find ease to buy things online without spending more and more time to visit several shops for purchasing their interested items.There were a lot of criminals who try to create fraud activities in online by placing fake products and reviews in illegal ways. These illegal ways are giving a huge loss for the genuine customers while selecting their interested product from online. There is no pro-active mechanism which can guarantee the customers to detect and identify the fraud based on user’s individual reviews and opinions for the products. So in this proposed thesis we try to develop a proactive model like multiple instance learning approach to detect and identify the service providersfraud based on individual user reviews and opinions for the products. We try to launch a graph mechanism in order to show the opinion about every individual product based on several users’ feedback. Our experimental and theoretical analysis shows that this model can probably distinguish between primitive e-commerce sites and future expected e-commerce sites and extensively decreases customer complaints based on this trustabilitygraph.
Keywords Proactive Model, Service Providers, Multiple Instance Learning Approach, Fraud Detection, Opinion Mining, E-Commerce.
Published In Volume 14, Issue 4, October-December 2023
Published On 2023-12-04
Cite This Combating Seller Fraud in E-Commerce: Insights from a Multiple Instance Learning Approach - Gaddam Kavyasri - IJSAT Volume 14, Issue 4, October-December 2023.
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