The average Korean household subscribes to 2.3 OTT services, spending approximately 25,000 KRW per month on streaming. Yet most subscribers watch less than 40% of available content because discovery across platforms is fundamentally broken.
K-OTT solves this by unifying content catalogs from Netflix, Disney+, Wavve, Tving, and Coupang Play into a single AI-powered recommendation engine.
The Cross-Platform Problem
Each streaming platform has its own recommendation algorithm optimized for engagement within that platform. Netflix wants you watching Netflix. Disney+ wants you watching Disney+. Nobody is optimizing for your actual viewing satisfaction across all services.
Our approach is platform-agnostic. We ingest content metadata from TMDB, cross-reference availability across Korean OTT services, and build genre-preference profiles that span all platforms simultaneously.
AI Recommendation Architecture
- Collaborative Filtering — What do users with similar taste profiles watch? We identify viewing pattern clusters across our user base.
- Content-Based Matching — Genre, director, cast, mood, and theme vectors. A user who loved Parasite might enjoy thriller-dramas with social commentary themes on any platform.
- Subscription Optimization — Our simulator calculates the optimal combination of OTT subscriptions based on your viewing preferences, showing exactly how much you'd watch on each platform per month.
Author's Case Study: During K-OTT development, we discovered that users who received cross-platform recommendations spent 35% more time in satisfied viewing sessions (measured by completion rate) compared to relying on individual platform recommendations alone.
The Subscription Simulator
K-OTT's most viral feature is the Subscription Simulator. Users input their viewing preferences, and the AI calculates exactly which combination of services gives them the best content-per-won ratio. No more paying for services you barely use.
Try it yourself at kott.kr/simulator.