Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems PDF Author: Alexandros Karatzoglou
Publisher:
ISBN: 9781450347952
Category : Computer science
Languages : en
Pages : 47

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Book Description
Workshop on Deep Learning for Recommender Systems Sep 15, 2016-Sep 15, 2016 Boston, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems PDF Author: Alexandros Karatzoglou
Publisher:
ISBN: 9781450347952
Category : Computer science
Languages : en
Pages : 47

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Book Description
Workshop on Deep Learning for Recommender Systems Sep 15, 2016-Sep 15, 2016 Boston, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

DLRS

DLRS PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 47

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Book Description


Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 70

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Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 35

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Book Description


ECML PKDD 2020 Workshops

ECML PKDD 2020 Workshops PDF Author: Irena Koprinska
Publisher: Springer Nature
ISBN: 3030659658
Category : Computers
Languages : en
Pages : 619

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Book Description
This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) PDF Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3030763463
Category : Technology & Engineering
Languages : en
Pages : 857

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Book Description
This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications.

Proceedings of the Sixth International Conference on Mathematics and Computing

Proceedings of the Sixth International Conference on Mathematics and Computing PDF Author: Debasis Giri
Publisher: Springer Nature
ISBN: 9811580618
Category : Technology & Engineering
Languages : en
Pages : 567

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Book Description
This book features selected papers from the 6th International Conference on Mathematics and Computing (ICMC 2020), organized by Sikkim University, Gangtok, Sikkim, India, during September 2020. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry.

Recommender Systems

Recommender Systems PDF Author: Dongsheng Li
Publisher: Springer Nature
ISBN: 9819989647
Category :
Languages : en
Pages : 292

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Book Description


Recommender Systems Handbook

Recommender Systems Handbook PDF Author: Francesco Ricci
Publisher: Springer
ISBN: 148997637X
Category : Computers
Languages : en
Pages : 1008

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Book Description
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

Workshop on Deep Learning for Recommender Systems

Workshop on Deep Learning for Recommender Systems PDF Author: Alexandros Karatzoglou
Publisher:
ISBN: 9781450353533
Category :
Languages : en
Pages :

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Book Description
Workshop on Deep Learning for Recommender Systems Aug 27, 2017-Aug 27, 2017 Como, Italy. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.