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References
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6 - Most-Popular Recommendation
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4 - Evaluation Methods
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11 - Multiobjective Optimization
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5 - Problem Settings and System Architecture
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3 - Explore-Exploit for Recommender Problems
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PART III - ADVANCED TOPICS
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Frontmatter
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8 - Personalization through Factor Models
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Preface
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7 - Personalization through Feature-Based Regression
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1 - Introduction
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Index
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Contents
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PART I - INTRODUCTION
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Endnotes
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9 - Factorization through Latent Dirichlet Allocation
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10 - Context-Dependent Recommendation
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PART II - COMMON PROBLEM SETTINGS
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2 - Classical Methods
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