Recommender Systems Handbook, 2nd Edition

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

Table of Contents

Chapter 1 Recommender Systems: Introduction and Challenges

Part I Recommendation Techniques
Chapter 2 A Comprehensive Survey of Neighborhood-Based Recommendation Methods
Chapter 3 Advances in Collaborative Filtering
Chapter 4 Semantics-Aware Content-Based Recommender Systems
Chapter 5 Constraint-Based Recommender Systems
Chapter 6 Context-Aware Recommender Systems
Chapter 7 Data Mining Methods for Recommender Systems

Part II Recommender Systems Evaluation
Chapter 8 Evaluating Recommender Systems
Chapter 9 Evaluating Recommender Systems with User Experiments
Chapter 10 Explaining Recommendations: Design and Evaluation

Part III Recommendation Techniques
Chapter 11 Recommender Systems in Industry: A Netflix Case Study
Chapter 12 Panorama of Recommender Systems to Support Learning
Chapter 13 Music Recommender Systems
Chapter 14 The Anatomy of Mobile Location-Based Recommender Systems
Chapter 15 Social Recommender Systems
Chapter 16 People-to-People Reciprocal Recommenders
Chapter 17 Collaboration, Reputation and Recommender Systems in Social Web Search

Part IV Human Computer Interaction
Chapter 18 Human Decision Making and Recommender Systems
Chapter 19 Privacy Aspects of Recommender Systems
Chapter 20 Source Factors in Recommender System Credibility Evaluation
Chapter 21 Personality and Recommender Systems

Part V Advanced Topics
Chapter 22 Group Recommender Systems: Aggregation, Satisfaction and Group Attributes
Chapter 23 Aggregation Functions for Recommender Systems
Chapter 24 Active Learning in Recommender Systems
Chapter 25 Multi-Criteria Recommender Systems
Chapter 26 Novelty and Diversity in Recommender Systems
Chapter 27 Cross-Domain Recommender Systems
Chapter 28 Robust Collaborative Recommendation