Media Experience Personalization Engine
This AI solution powers hyper-personalized media experiences across news, entertainment, and social platforms by using machine learning and large language models to tailor content, recommendations, and interfaces to each user. It optimizes engagement through real-time behavior analysis, content relevance scoring, and A/B-tested recommendation strategies while enforcing intelligent moderation to maintain brand safety. The result is higher viewer retention, increased content consumption, and improved monetization through more relevant experiences and ads.
The Problem
“Real-time personalized feeds with safety-aware ranking and rapid experimentation”
Organizations face these key challenges:
Low retention because feeds feel repetitive, irrelevant, or clickbaity
Cold-start for new users and new content causes poor recommendations
Moderation and brand safety are inconsistent across text, images, and video
A/B testing is slow and results don’t generalize across segments