Isbn: 9783319296579 - recommender systems: the textbook (37 risultati)

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  • Lingua: Inglese

    Editore: Springer International Publishing AG, 2016

    3319296574 / 9783319296579

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    Hardback. Condizione: Good. 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.…

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Condizione: acceptable. This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.…

  • Lingua: Inglese

    Editore: Springer International Publishing AG, 2016

    3319296574 / 9783319296579

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    Hardback. Condizione: Good. 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.…

  • Lingua: Inglese

    Editore: Springer (edition 1st ed. 2016), 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: Very Good. 1st ed. 2016. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: Good. 1st ed. 2016. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Paperback. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

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    hardcover. Condizione: Very Good.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Condizione: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

  • Lingua: Inglese

    Editore: Cham, Springer., 2016

    3319296574 / 9783319296579

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    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.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2016

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    Hardcover. Condizione: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

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    Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

    Editore: Springer, 2016

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Condizione: New. 1st ed. 2016 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2016

    3319296574 / 9783319296579

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  • Lingua: Inglese

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    Hardcover. Condizione: Brand New. 498 pages. 9.00x7.00x1.25 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2016

    3319296574 / 9783319296579

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    Hardcover. Condizione: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer

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    Condizione: gut. 2016. Recommender Systems The Textbook In deutscher Sprache. pages.

  • Lingua: Inglese

    Editore: Springer, 2016

    3319296574 / 9783319296579

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    hardcover. Condizione: Very Good. Very Good text and cover, minor reading wear to text and covers/edges. Hardcover. May be POD (Print on Demand) Printing/Reprint. US orders shipped via US Mail. International orders shipped via DHL. Additional postage may be required on oversize books and sets. NO prison orders.…