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In the world of streaming video and hours of binge watch, personalized search is the new black. With the ability to think and understand like a Human, Argoid redefines the search-and-discovery experience with its content personalization engine. By applying machine learning models and computer vision, Argoid surfaces the best content recommendations in real-time to each individual user, based on their intent, viewing habits and preferences.
AI delivers product recommendations not just in real-time but also understands user’s watch intent in real-time and delivers most relevant recommendations.
Proven machine learning model catalog with cutting-edge algorithms from collaborative filtering to deep learning and natural language processing.
API-driven architecture with 50+ predefined connectors enables seamless integration for data ingestion as well as serving recommendations.
From user behavior events such as click, play, pause, to cast, sub-genre, feeding 100s of features to ML models for best accuracy.
Clear visibility of ROI from time to time with an uplift in session duration, completion rate, retention rate and conversions through intuitive dashboards.
Auto-cleansing of Electronic Program Guide(EPG) data and data enrichment through advanced knowledge graphs for understanding context correlation.