Tag: Predictions
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Instagram’s Journey to Managing 1000+ ML Models
Instagram has successfully scaled its recommendation system to manage over 1000 ML models. This article explores how they built a robust infrastructure through a model registry, streamlined launching process, and innovative stability metrics to maintain high-quality personalized experiences for billions of users.
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Enhancing Netflix Recommendations with FM-Intent: Predicting User Session Intent
Netflix has developed FM-Intent, an advanced recommendation model that predicts user intent during viewing sessions. By understanding whether users want to discover new content, continue watching shows, or explore specific genres, FM-Intent delivers 7.4% more accurate recommendations than previous systems, creating a more personalized streaming experience.
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Understanding Time-Series Data: Analytics, Predictions, and Industry Applications
Discover the power of time-series data in modern analytics. Learn how organizations leverage temporal data patterns for predictive insights, anomaly detection, and machine learning applications across various industries.