Publication:
Recommender Systems : The Textbook
Loading...
Abstracts views
4
Views & Download
0
Alternate title
Abstract
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation.
Description
Authors
Aggarwal, Charu C.
Alternate Authors
Advisor
Place of publication
Cham
Publisher
Springer
Date
2016
Journal ISSN
Volume Title
Keywords
Recommender systems , Information filtering , Data Science , Data Analytics , Artificial Intelligence
Collections
Uniform Resource Identifier
Please use the UNETI DRM to download/borrow digital documents
