Topic: collaborative filtering
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AI-Powered Content Discovery for OTT & CTV
AI is transforming content discovery on streaming platforms by using viewer data to create personalized experiences, moving beyond the paradox of choice. Recommendation systems employ hybrid methods, combining content-based and collaborative filtering to suggest both familiar favorites and unexpe...
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Google's AI Now Understands What You Really Want
Google is using AI to help recommender systems interpret subjective user preferences, like "funny" or "cute," by bridging the semantic gap between human language and machine processing. The research employs an adapted technique called Concept Activation Vectors (CAVs) to translate individual user...
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LinkedIn's New AI Algorithm Transforms Your Feed
LinkedIn's feed algorithm now prioritizes topical relevance and engagement patterns, using AI to surface posts that demonstrate expertise and align with professional discussions. The system employs a unified, LLM-powered retrieval model to understand content meaning and a transformer-based rankin...
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