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Recommender Algorithms in 2026: A Practitioner's Guide: Structured and practical overview of this algorithmic landscape. Mathematical Foundations and code samples.
Recommender Algorithms in 2026: A Practitioner's Guide: Structured and practical overview of this algorithmic landscape. Mathematical Foundations and code samples.
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Democratic Algorithms: Ethnography of a Public Recommender System
Democratic Algorithms: Ethnography of a Public Recommender System
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Netflix Recommends : Algorithms, Film Choice, and the History of Taste
Netflix Recommends : Algorithms, Film Choice, and the History of Taste
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Recommender Algorithms in 2026: A Practitioner's Guide: Structured and practical overview of this algorithmic landscape. Mathematical Foundations and code samples.
Recommender Algorithms in 2026: A Practitioner's Guide: Structured and practical overview of this algorithmic landscape. Mathematical Foundations and code samples.
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Computing Taste : Algorithms and the Makers of Music Recommendation
Computing Taste : Algorithms and the Makers of Music Recommendation
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Recommender Systems : A Multi-Disciplinary Approach
Recommender Systems : A Multi-Disciplinary Approach
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Machine Learning Refined : Foundations, Algorithms, and Applications
Machine Learning Refined : Foundations, Algorithms, and Applications
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