Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 14,49
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
xxi, 498 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
hardcover. Zustand: Fine.
Zustand: Gut. 519 S. Einband an Ecken leicht berieben. Kleine Schrammen auf dem Einband. Seiten sauber. 383 Sprache: Englisch Gewicht in Gramm: 1190 Gebundene Ausgabe, Maße: 18.54 cm x 3.3 cm x 25.65 cm.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 66,51
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Zustand: new.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319296574 ISBN 13: 9783319296579
Anbieter: moluna, Greven, Deutschland
EUR 51,51
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
EUR 92,85
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 498 pages. 9.00x7.00x1.25 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2016
ISBN 10: 3319296574 ISBN 13: 9783319296579
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.