Recommender Systems: The Textbook

Recommender Systems: The Textbook

English | EPUB | 2016 | 498 Pages | ISBN : 3319296574 | 5.51 MB

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.
Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored.
Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed.
In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications.
Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.


[Fast Download] Recommender Systems: The Textbook

Ebooks related to "Recommender Systems: The Textbook" :
Visualization of Time-Oriented Data
Oracle Database Upgrade and Migration Methods: Including Oracle 12c Release 2
Matrix and Tensor Factorization Techniques for Recommender Systems
Data Science For Dummies
Mastering ElasticSearch 5.0 - Third Edition
NoSQL for Mere Mortals
Introducing Windows Azure (Expert's Voice in .Net)
Text Mining: Predictive Methods for Analyzing Unstructured Information
Oracle էݧ ֧ڧߧѧݧ
Advanced Database Systems (The Morgan Kaufmann Series in Data Management Systems)
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.