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. $28.97, good condition, Sold by Goodwill Indust. of San Diego rated 5.0 out of 5 stars, ships from San Diego, CA, UNITED STATES, published 2016 by Springer.
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Seller's Description:
Discoloration on cover or page edges. The book has been read but is in good condition. There is minor to moderate wear to the outside, including scuffs, corner dings, & edge curls. It stand/lays flat. The majority of pages are undamaged with minimal creasing. Used books should not be expected to come with working access codes or bundled media. Please ask to verify before purchase.
Add this copy of Recommender Systems: the Textbook to cart. $35.33, like new condition, Sold by Zebras Books rated 5.0 out of 5 stars, ships from Somerset, NJ, UNITED STATES, published 2016 by Springer.
Add this copy of Recommender Systems: The Textbook to cart. $39.00, 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.
Add this copy of Recommender Systems: the Textbook to cart. $39.69, new condition, Sold by Book Forest rated 4.0 out of 5 stars, ships from San Rafael, CA, UNITED STATES, published 2016 by Springer.
