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Realtime Data Mining

Overview of attention for book
Cover of 'Realtime Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Brave New Realtime World: Introduction
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    Chapter 2 Strange Recommendations? On the Weaknesses of Current Recommendation Engines
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    Chapter 3 Changing Not Just Analyzing: Control Theory and Reinforcement Learning
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    Chapter 4 Recommendations as a Game: Reinforcement Learning for Recommendation Engines
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    Chapter 5 How Engines Learn to Generate Recommendations: Adaptive Learning Algorithms
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    Chapter 6 Up the Down Staircase: Hierarchical Reinforcement Learning
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    Chapter 7 Breaking Dimensions: Adaptive Scoring with Sparse Grids
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    Chapter 8 Decomposition in Transition: Adaptive Matrix Factorization
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    Chapter 9 Decomposition in Transition II: Adaptive Tensor Factorization
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    Chapter 10 The Big Picture: Toward a Synthesis of RL and Adaptive Tensor Factorization
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    Chapter 11 What Cannot Be Measured Cannot Be Controlled: Gauging Success with A/B Tests
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    Chapter 12 Building a Recommendation Engine: The XELOPES Library
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    Chapter 13 Last Words: Conclusion
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    Chapter 14 ERRATUM
Attention for Chapter 11: What Cannot Be Measured Cannot Be Controlled: Gauging Success with A/B Tests
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