Fraudulent Reviews Dilemma
Rajvardhan highlights the issue of buyers leaving fake negative reviews to balance their accounts, impacting genuine sellers. He discusses the challenges of detecting human-driven fraud in online reviews and suggests using graph neural networks to identify suspicious review clusters. Despite the trust issues with online reviews, he now relies more on word of mouth and verified user identities for product recommendations.In this clip
From this podcast
Data Skeptic
Fraudulent Amazon Reviewers
Related Questions