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  • 1
    Online Resource
    Online Resource
    New York :Springer,
    UID:
    edoccha_BV048214865
    Format: 1 Online-Ressource (XI, 1060 Seiten).
    Edition: Third Edition
    ISBN: 978-1-07-162197-4
    Note: Korrektur durch Verlagsmeldung (September 2022). - Früheres Paket ZDB-2-SMA
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-07-162196-7
    Language: English
    Keywords: Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    New York :Springer,
    UID:
    edocfu_BV048214865
    Format: 1 Online-Ressource (XI, 1060 Seiten).
    Edition: Third Edition
    ISBN: 978-1-07-162197-4
    Note: Korrektur durch Verlagsmeldung (September 2022). - Früheres Paket ZDB-2-SMA
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-07-162196-7
    Language: English
    Keywords: Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    New York :Springer,
    UID:
    almahu_BV043209030
    Format: 1 Online-Ressource (xvii, 1003 Seiten) : , Illustrationen, Diagramme (überwiegend farbig).
    Edition: Second edition
    ISBN: 978-1-4899-7637-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-4899-7636-9
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Empfehlungssystem ; Mensch-Maschine-Kommunikation ; Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation ; Aufsatzsammlung ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    New York : Springer
    UID:
    b3kat_BV048214865
    Format: 1 Online-Ressource (XI, 1060 Seiten)
    Edition: Third Edition
    ISBN: 9781071621974
    Note: Korrektur durch Verlagsmeldung (September 2022). - Früheres Paket ZDB-2-SMA
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-07-162196-7
    Language: English
    Keywords: Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_BV043214006
    Format: xvii, 1003 Seiten : , Illustrationen, Diagramme.
    Edition: Second edition
    ISBN: 978-1-4899-7636-9
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-4899-7637-6
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation ; Aufsatzsammlung ; Aufsatzsammlung
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    New York :Springer,
    UID:
    almafu_BV048214865
    Format: 1 Online-Ressource (XI, 1060 Seiten).
    Edition: Third Edition
    ISBN: 978-1-07-162197-4
    Note: Korrektur durch Verlagsmeldung (September 2022). - Früheres Paket ZDB-2-SMA
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-07-162196-7
    Language: English
    Keywords: Empfehlungssystem ; Erfolgskontrolle ; Empfehlungssystem ; Mensch-Maschine-Kommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    gbv_1809294401
    Format: 1 online resource (1053 pages)
    Edition: Third edition
    ISBN: 9781071621974
    Content: Preface -- Introduction -- Part 1: General Recommendation Techniques -- Trust Your Neighbors: A Comprehensive Survey of Neighborhood-based Methods for Recommender Systems (Desrosiers) -- Advances in Collaborative Filtering (Koren) -- Item Recommendation from Implicit Feedback (Rendle) -- Deep Learning for Recommender Systems (Zhang) -- Context Aware Re commender Sytems : From Foundatiom to Recent Developments (Bauman) -- Semantics and Content-based Recommendations (Musto) -- Part 2: Special Recommendation Techniques -- Session-based Recommender Systems (lannoch). -- Adversarial Recommender Systems: Attack, Defense, and Advances (Di Nola) -- Group Recommender Systems: Beyond Preferance Aggregation (Masthoff) -- People-to-People Reciprocal Recommenders (Koprinska) -- Natural Language Processing for Recommender Systems (Sar-Shalom) -- Design and Evaluation of Cross-domain Recommender Systems (Cremonesi) -- Part 3: Value and Impact of Recommender Systems -- Value and Impact of Recommender Systems (Zanker) -- Evaluating Recommender Systems (Shani) -- Novelty and Diversity in Recommender Systems (Castells) -- Multistakeholder Recommender Systems (Burke) -- Fairness in Recommender Systems (Ekstrand) -- Part 4: Human Computer Interaction -- Beyond Explaining Single Item Recommendations (Tintarev) -- Personality and Recommender Systems (Tkalčič) -- Individual and Group Decision Making and Recommender Systems (Jameson) -- Part 5: Recommender Systems Applications -- Social Recommender Systems (Guy) -- Food Recommender Systems (Trattner) -- Music Recommendation Systems: Techniques, Use Cases, and Challenges (Schedl) -- Multimedia Recommender Systems: Algorithms and Challenges (Deldjoo) -- Fashion Recommender Systems (Dokoohaki).
    Content: This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: ISBN 9781071621967
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781071621967
    Language: English
    Keywords: Aufsatzsammlung
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  • 8
  • 9
    UID:
    almafu_9959231717002883
    Format: 1 online resource (248 p.)
    ISBN: 6611733590 , 1-281-73359-8 , 9786611733599 , 1-4356-7794-3 , 1-60750-320-4 , 600-00-0551-2 , 1-4337-1235-0
    Series Statement: NATO science for peace and security series. D, Information and communication security ; v. 15
    Content: Intended to be of interest to counter-terrorism experts and professionals, to academic researchers in information systems, computer science, political science, and public policy, and to graduate students in these areas, this book highlights several aspects of patrolling the Web that were raised and discussed by experts from different disciplines.
    Note: Based on presentations given at the NATO Advanced Research Workshop on Security Informatics and Terrorism: Patrolling the Web, held in June 2007 in Israel. , Title page; Editors' Introduction; Contents; The Social and Political Environment; Discovering Hidden Patterns of Activity; Knowledge Discovery in Texts and Images; Some Contemporary Technologies and Applications; Appendix 1: Conference Participants; Author Index , English
    Additional Edition: ISBN 1-58603-848-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    gbv_1800270518
    Format: 1 Online-Ressource (xi, 1060 Seiten) , Illustrationen, Diagramme
    Edition: Third edition
    ISBN: 9781071621974
    Series Statement: Springer eBook Collection
    Content: Preface -- Introduction -- Part 1: General Recommendation Techniques -- Trust Your Neighbors: A Comprehensive Survey of Neighborhood-based Methods for Recommender Systems (Desrosiers) -- Advances in Collaborative Filtering (Koren) -- Item Recommendation from Implicit Feedback (Rendle) -- Deep Learning for Recommender Systems (Zhang) -- Context Aware Re commender Sytems : From Foundatiom to Recent Developments (Bauman) -- Semantics and Content-based Recommendations (Musto) -- Part 2: Special Recommendation Techniques -- Session-based Recommender Systems (lannoch). -- Adversarial Recommender Systems: Attack, Defense, and Advances (Di Nola) -- Group Recommender Systems: Beyond Preferance Aggregation (Masthoff) -- People-to-People Reciprocal Recommenders (Koprinska) -- Natural Language Processing for Recommender Systems (Sar-Shalom) -- Design and Evaluation of Cross-domain Recommender Systems (Cremonesi) -- Part 3: Value and Impact of Recommender Systems -- Value and Impact of Recommender Systems (Zanker) -- Evaluating Recommender Systems (Shani) -- Novelty and Diversity in Recommender Systems (Castells) -- Multistakeholder Recommender Systems (Burke) -- Fairness in Recommender Systems (Ekstrand) -- Part 4: Human Computer Interaction -- Beyond Explaining Single Item Recommendations (Tintarev) -- Personality and Recommender Systems (Tkalčič) -- Individual and Group Decision Making and Recommender Systems (Jameson) -- Part 5: Recommender Systems Applications -- Social Recommender Systems (Guy) -- Food Recommender Systems (Trattner) -- Music Recommendation Systems: Techniques, Use Cases, and Challenges (Schedl) -- Multimedia Recommender Systems: Algorithms and Challenges (Deldjoo) -- Fashion Recommender Systems (Dokoohaki).
    Content: This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool. .
    Additional Edition: ISBN 9781071621967
    Additional Edition: ISBN 9781071621998
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781071621967
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781071621981
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781071621998
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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