Recommender Systems Handbook

Recommender Systems Handbook
Author :
Publisher : Springer
Total Pages : 1008
Release :
ISBN-10 : 9781489976376
ISBN-13 : 148997637X
Rating : 4/5 (76 Downloads)

Book Synopsis Recommender Systems Handbook by : Francesco Ricci

Download or read book Recommender Systems Handbook written by Francesco Ricci and published by Springer. This book was released on 2015-11-17 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Recommender Systems Handbook Related Books

Recommender Systems Handbook
Language: en
Pages: 1008
Authors: Francesco Ricci
Categories: Computers
Type: BOOK - Published: 2015-11-17 - Publisher: Springer

DOWNLOAD EBOOK

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories
Recommender Systems
Language: en
Pages: 518
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2016-03-28 - Publisher: Springer

DOWNLOAD EBOOK

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr
Practical Recommender Systems
Language: en
Pages: 743
Authors: Kim Falk
Categories: Computers
Type: BOOK - Published: 2019-01-18 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Summary Online recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms
Collaborative Filtering Recommender Systems
Language: en
Pages: 104
Authors: Michael D. Ekstrand
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: Now Publishers Inc

DOWNLOAD EBOOK

Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners a
Statistical Methods for Recommender Systems
Language: en
Pages: 317
Authors: Deepak K. Agarwal
Categories: Computers
Type: BOOK - Published: 2016-02-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is