Recommender systems handbook, Second edition

Francesco Ricci, Bracha Shapira, Lior Rokach

Research output: Book/ReportBookpeer-review

191 Scopus citations

Abstract

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.

Original languageEnglish
PublisherSpringer US
Number of pages1003
ISBN (Electronic)9781489976376
ISBN (Print)9781489976369
DOIs
StatePublished - 1 Jan 2015

ASJC Scopus subject areas

  • Computer Science (all)

Fingerprint

Dive into the research topics of 'Recommender systems handbook, Second edition'. Together they form a unique fingerprint.

Cite this