Description: Further DetailsTitle: Recommender SystemsCondition: NewSubtitle: The TextbookEAN: 9783319806198ISBN: 9783319806198Edition: Softcover reprint of the original 1st ed. 2016Publisher: Springer International Publishing AGFormat: PaperbackRelease Date: 04/25/2018Description: 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.Language: EnglishCountry/Region of Manufacture: CHItem Height: 254mmItem Length: 178mmAuthor: Charu C. AggarwalGenre: Computing & InternetRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Recommender Systems
Title: Recommender Systems
Subtitle: The Textbook
EAN: 9783319806198
ISBN: 9783319806198
Edition: Softcover reprint of the original 1st ed. 2016
Release Date: 04/25/2018
Release Year: 2018
Country/Region of Manufacture: CH
Item Height: 254mm
Genre: Computing & Internet
Number of Pages: Xxi, 498 Pages
Language: English
Publication Name: Recommender Systems : the Textbook
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Type: Textbook
Item Weight: 340.6 Oz
Item Length: 10 in
Author: Charu C. Aggarwal
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback