Recombee implemented a robust recommendation engine tailored to FTV Prima’s online magazine platforms.
Real-Time Personalization
Recommendation boxes featured "Suggested for You" sections based on browsing behavior, collaborative filtering, and text analysis.
Content updated instantly as users interacted with the platform, ensuring relevant suggestions.
Cross-Domain Recommendations
Articles from different Prima domains were cross-promoted, encouraging users to explore related content across sites like CNN Prima News, Zeny, and Zoom.
Editorial Oversight
Editors retained the ability to adjust recommendations, promote specific articles, and align content with editorial goals.
AI-Powered Text Analysis
Sophisticated algorithms processed article metadata and content tags to enhance contextual relevance.






























