This research provides a systematic review of Point-of-Interest recommendation systems with special emphasis on security vulnerabilities and privacy protection mechanisms.

• Analyzes the architecture models behind modern POI recommendation systems
• Identifies critical security vulnerabilities in location-based recommendation ecosystems
• Outlines privacy-preserving approaches to protect user data while maintaining recommendation quality
• Explores the unique challenges of securing spatio-temporal data in mobile applications

As location-based services become increasingly integrated into our daily lives, understanding security implications is crucial for businesses developing or deploying these technologies. This research provides essential guidance for implementing robust POI recommendation systems that balance personalization with privacy concerns.

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security