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 ...
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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.
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Add this copy of Recommender Systems: the Textbook to cart. £21.57, very good condition, Sold by Books From California rated 4.0 out of 5 stars, ships from Simi Valley, CA, UNITED STATES, published 2016 by Springer.
Add this copy of Recommender Systems: the Textbook to cart. £22.77, fair condition, Sold by Goodbooks rated 5.0 out of 5 stars, ships from Tontitown, AR, UNITED STATES, published 2016 by Springer.
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Seller's Description:
Fair. This copy may contain significant wear including bending heavy writing tears and or water damage. This book is a functional copy not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing.
Add this copy of Recommender Systems: the Textbook to cart. £35.59, like new condition, Sold by Books From California rated 4.0 out of 5 stars, ships from Simi Valley, CA, UNITED STATES, published 2016 by Springer.
Add this copy of Recommender Systems: the Textbook to cart. £37.01, new condition, Sold by Book Forest rated 4.0 out of 5 stars, ships from San Rafael, CA, UNITED STATES, published 2016 by Springer.
Add this copy of Recommender Systems: The Textbook to cart. £37.43, good condition, Sold by BookScout rated 5.0 out of 5 stars, ships from Minneapolis, MN, UNITED STATES, published 2018 by Springer.
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Good. Underlining on 15 pages; crease in front cover; a few turned page corners. Underlining on 15 pages; crease in front cover; a few turned page corners.
