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15 articles
This explainer explores Netflix's GenRec, a language model-based recommendation system that transforms user viewing behavior into text for more accurate personalization, marking a shift from traditional feature-engineered approaches.
This article explains Snapchat's decision to stop recommending AI-generated content on Spotlight, examining the technical challenges of detecting AI content and the broader implications for social media platforms.
This article explains how advanced AI recommendation systems work, focusing on the machine learning techniques behind personalized product suggestions during events like Amazon Prime Day.
This explainer explores the advanced AI systems behind Amazon's Prime Day 2026 promotions, examining how dynamic pricing, recommendation algorithms, and machine learning optimize consumer offers and retail operations.
This article explains how advanced AI systems power personalized deal curation during Amazon's Prime Day 2026 event, covering the machine learning techniques and architectures involved.
This article explains how YouTube's new AI feature uses advanced natural language processing and recommendation systems to create personalized video feeds based on user descriptions.
This article explores how AI music generation platforms like Suno are creating new user behavior patterns where people exclusively consume their own AI-generated content, highlighting the technical and economic implications of these AI ecosystems.
Learn how recommendation systems work behind the scenes of online shopping and entertainment, and why they're so effective at suggesting what you'll want to buy or watch.
This article explains how Airbnb leverages AI and platform architecture to expand from a home-sharing app into a full travel platform, using recommendation systems, reinforcement learning, and data integration.
Learn how recommendation systems work - the AI technology behind personalized suggestions you see on Amazon, Netflix, and other platforms. Understand the simple concepts that make these systems so effective.
Learn how AI recommendation systems help users make better technology choices by analyzing vast amounts of data and personal preferences to find the perfect fit.
This explainer explores how recommendation systems work, from matrix factorization to hybrid approaches, and their critical role in modern e-commerce platforms.
