Author : Alexandros Karatzoglou
Publisher :
Page : 47 pages
File Size : 17,54 MB
Release : 2016-09-15
Category : Computer science
ISBN : 9781450347952
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.
Author :
Publisher :
Page : 47 pages
File Size : 30,78 MB
Release : 2016
Category : Machine learning
ISBN :
Author :
Publisher :
Page : 70 pages
File Size : 47,20 MB
Release :
Category : Machine learning
ISBN :
Author :
Publisher :
Page : 35 pages
File Size : 46,41 MB
Release : 2018
Category : Machine learning
ISBN :
Author : Irena Koprinska
Publisher : Springer Nature
Page : 619 pages
File Size : 19,3 MB
Release : 2021-02-01
Category : Computers
ISBN : 3030659658
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.
Author : Aboul Ella Hassanien
Publisher : Springer Nature
Page : 857 pages
File Size : 37,47 MB
Release : 2021-05-28
Category : Technology & Engineering
ISBN : 3030763463
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.
Author : Debasis Giri
Publisher : Springer Nature
Page : 567 pages
File Size : 15,6 MB
Release : 2020-12-10
Category : Technology & Engineering
ISBN : 9811580618
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.
Author : Dongsheng Li
Publisher : Springer Nature
Page : 292 pages
File Size : 40,48 MB
Release :
Category :
ISBN : 9819989647
Author : Alexandros Karatzoglou
Publisher :
Page : pages
File Size : 32,46 MB
Release : 2017-08-27
Category :
ISBN : 9781450353533
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.
Author : Monideepa Roy
Publisher : CRC Press
Page : 261 pages
File Size : 42,88 MB
Release : 2023-06-19
Category : Computers
ISBN : 100088628X
Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. Features of this book: Identifies and describes recommender systems for practical uses Describes how to design, train, and evaluate a recommendation algorithm Explains migration from a recommendation model to a live system with users Describes utilization of the data collected from a recommender system to understand the user preferences Addresses the security aspects and ways to deal with possible attacks to build a robust system This book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.
