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UMAP '18

Author : Umap
Publisher :
ISBN 13 : 9781450361668
Total Pages : 396 pages
Book Rating : 4.3/5 (616 download)

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Book Synopsis UMAP '18 by : Umap

Download or read book UMAP '18 written by Umap and published by . This book was released on 2018-11-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure to welcome you to the 26th ACM International Conference on User modeling, Adaptation and personalization - UMAP 2018. UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users. UMAP is the successor of the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It has traditionally been organized under the auspices of User Modeling Inc. Since 2016, UMAP is an ACM conference, sponsored by ACM SIGCHI and SIGWEB. UMAP 2018 is a very special conference, as this is the very first time UMAP will be located in Asia! We hope to meet many like-minded researchers from Singapore and other Asian countries. The conference spans a wide scope of topics related to user modeling, adaptation, and personalization. UMAP 2018 is focused on bringing together cutting-edge research from user interaction and modeling, adaptive technologies, and delivery platforms. It includes high-quality peer-reviewed papers featuring substantive new research in one of five research tracks, each chaired by leaders in the field: Adaptive Hypermedia and the Semantic Web (track chairs Peter Brusilovsky and Geert-Jan Houben) Intelligent User interfaces (track chairs Shlomo Berkovsky and Markus Schedl) Personalized Recommender Systems (track chairs Dietmar Jannach and Markus Zanker) Personalized Social Web (track chairs Cecile Paris and Julita Vassileva) Technology-Enhanced Adaptive Learning (track chairs Olga Santos and Carla Limongelli) The call for papers attracted 137 submissions from 33 different countries on all continents except Antarctica: Argentina, Australia, Austria, Belgium, Brazil, Canada, China, Cyprus, Denmark, Finland, France, Germany, India, Indonesia, Ireland, Israel, Italy, Japan, Netherlands, New Zealand, Nigeria, Norway, Pakistan, Philippines, Portugal, Saudi Arabia, Singapore, South Korea, Spain, Sweden, Switzerland, United Kingdom, and the United States The international program committee consisted of 131 reviewers. Each submission received at least 3 reviews. After the initial reviews were submitted, the designated track chairs (TCs) facilitated discussion amongst reviewers in order to resolve differences and correct misunderstandings. The TCs then provided a recommendation to the Program Chairs. The final decisions were based on these recommendations, meta-reviews, and reviewer scores. Moreover, 10 papers were accepted as extended abstracts, and 13 were included in Late Breaking Results track (LBR). We thank Hui Fang and Pasquale Lops, LBR and Demo Chairs, for their efforts on selecting addition papers submitted to this track. As a result, there are 3 Demos, 3 Theory, Opinion and Reflection papers, and 20 Late Breaking Results papers presented in the iv UMAP poster sessions, which collectively showcase the wide spectrum of novel ideas and latest results in user modeling, adaptation and personalization. We also encourage attendees to attend the keynote presentations; these valuable and insightful talks guide us to a better understanding of the future. Running Recommendations: Personalisation Opportunities for Health and Fitness, Barry Smith (University College Dublin, Ireland) Robots that Listen to People's Hearts: the Role of Emotions in the Communication between Humans and Social Robots, Ana Paiva (University of Lisbon, Portugal) Interpreting User Input Intention in Natural Human Computer Interaction, Yuanchun Shi (Tsinghua University, China)

Group Recommender Systems

Author : Alexander Felfernig
Publisher : Springer Nature
ISBN 13 : 3031449436
Total Pages : 180 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Group Recommender Systems by : Alexander Felfernig

Download or read book Group Recommender Systems written by Alexander Felfernig and published by Springer Nature. This book was released on 2023-11-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses different aspects of group recommender systems, which are systems that help to identify recommendations for groups instead of single users. In this context, the authors present different related techniques and applications. The book includes in-depth summaries of group recommendation algorithms, related industrial applications, different aspects of preference construction and explanations, user interface aspects of group recommender systems, and related psychological aspects that play a crucial role in group decision scenarios.

Globalized E-Learning Cultural Challenges

Author : Edmundson, Andrea
Publisher : IGI Global
ISBN 13 : 1599043033
Total Pages : 374 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Globalized E-Learning Cultural Challenges by : Edmundson, Andrea

Download or read book Globalized E-Learning Cultural Challenges written by Edmundson, Andrea and published by IGI Global. This book was released on 2006-07-31 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book's purpose is to inform educators and instructional designers of issues and cultural misunderstandings that could hinder the effective transfer of knowledge when e-learning is exported to other cultures. Addressing these cultural challenges will enhance the effectiveness of e-learning, thereby supporting the societal benefits of increased access to education at a global level"--Provided by publisher.

Recommendation Systems in Software Engineering

Author : Martin P. Robillard
Publisher : Springer Science & Business
ISBN 13 : 3642451357
Total Pages : 560 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Recommendation Systems in Software Engineering by : Martin P. Robillard

Download or read book Recommendation Systems in Software Engineering written by Martin P. Robillard and published by Springer Science & Business. This book was released on 2014-04-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data. This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: “Part I – Techniques” introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow. “Part II – Evaluation” summarizes methods and experimental designs for evaluating recommendations in software engineering. “Part III – Applications” describes needs, issues and solution concepts involved in entire recommendation systems for specific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers and tools with regard to recommendation systems in software engineering. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered.

Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE)

Author : Vania Gatseva Dimitrova
Publisher : Frontiers Media SA
ISBN 13 : 2889663752
Total Pages : 155 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE) by : Vania Gatseva Dimitrova

Download or read book Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE) written by Vania Gatseva Dimitrova and published by Frontiers Media SA. This book was released on 2021-01-11 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recommender Systems Handbook

Author : Francesco Ricci
Publisher : Springer
ISBN 13 : 148997637X
Total Pages : 1008 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Recommender Systems Handbook by : Francesco Ricci

Download or read book Recommender Systems Handbook written by Francesco Ricci and published by Springer. This book was released on 2015-11-17 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Trends and Innovations in Information Systems and Technologies

Author : Álvaro Rocha
Publisher : Springer Nature
ISBN 13 : 3030456919
Total Pages : 854 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Trends and Innovations in Information Systems and Technologies by : Álvaro Rocha

Download or read book Trends and Innovations in Information Systems and Technologies written by Álvaro Rocha and published by Springer Nature. This book was released on 2020-06-07 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 2020 World Conference on Information Systems and Technologies (WorldCIST’20), held in Budva, Montenegro, from April 7 to 10, 2020. WorldCIST provides a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences with and challenges regarding various aspects of modern information systems and technologies. The main topics covered are A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

New Technologies, Development and Application VII

Author : Isak Karabegovic
Publisher : Springer Nature
ISBN 13 : 3031662717
Total Pages : 714 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis New Technologies, Development and Application VII by : Isak Karabegovic

Download or read book New Technologies, Development and Application VII written by Isak Karabegovic and published by Springer Nature. This book was released on with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recommender Systems Handbook

Author : Francesco Ricci
Publisher : Springer Nature
ISBN 13 : 1071621971
Total Pages : 1053 pages
Book Rating : 4.0/5 (716 download)

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Book Synopsis Recommender Systems Handbook by : Francesco Ricci

Download or read book Recommender Systems Handbook written by Francesco Ricci and published by Springer Nature. This book was released on 2022-04-21 with total page 1053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. 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.

Multilingual Information Retrieval

Author : Carol Peters
Publisher : Springer Science & Business Media
ISBN 13 : 3642230083
Total Pages : 232 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Multilingual Information Retrieval by : Carol Peters

Download or read book Multilingual Information Retrieval written by Carol Peters and published by Springer Science & Business Media. This book was released on 2012-01-05 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living in a multilingual world and the diversity in languages which are used to interact with information access systems has generated a wide variety of challenges to be addressed by computer and information scientists. The growing amount of non-English information accessible globally and the increased worldwide exposure of enterprises also necessitates the adaptation of Information Retrieval (IR) methods to new, multilingual settings. Peters, Braschler and Clough present a comprehensive description of the technologies involved in designing and developing systems for Multilingual Information Retrieval (MLIR). They provide readers with broad coverage of the various issues involved in creating systems to make accessible digitally stored materials regardless of the language(s) they are written in. Details on Cross-Language Information Retrieval (CLIR) are also covered that help readers to understand how to develop retrieval systems that cross language boundaries. Their work is divided into six chapters and accompanies the reader step-by-step through the various stages involved in building, using and evaluating MLIR systems. The book concludes with some examples of recent applications that utilise MLIR technologies. Some of the techniques described have recently started to appear in commercial search systems, while others have the potential to be part of future incarnations. The book is intended for graduate students, scholars, and practitioners with a basic understanding of classical text retrieval methods. It offers guidelines and information on all aspects that need to be taken into consideration when building MLIR systems, while avoiding too many ‘hands-on details’ that could rapidly become obsolete. Thus it bridges the gap between the material covered by most of the classical IR textbooks and the novel requirements related to the acquisition and dissemination of information in whatever language it is stored.

Feature Models

Author : ALEXANDER. FALKNER FELFERNIG (ANDREAS. BENAVIDES, DAVID.)
Publisher : Springer Nature
ISBN 13 : 3031618742
Total Pages : 129 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Feature Models by : ALEXANDER. FALKNER FELFERNIG (ANDREAS. BENAVIDES, DAVID.)

Download or read book Feature Models written by ALEXANDER. FALKNER FELFERNIG (ANDREAS. BENAVIDES, DAVID.) and published by Springer Nature. This book was released on 2024 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is intended as an introduction for researchers and practitioners who are new to the field and will also serve as a state-of-the-art reference to this audience. While focusing on the AI perspective, the book covers the topics of feature modelling (including languages and semantics), feature model analysis, and interacting with feature model configurators. These topics are discussed along the AI areas of knowledge representation and reasoning, explainable AI, and machine learning.

Explainable and Interpretable Models in Computer Vision and Machine Learning

Author : Hugo Jair Escalante
Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 305 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

Handbook of e-Tourism

Author : Zheng Xiang
Publisher : Springer Nature
ISBN 13 : 3030486524
Total Pages : 1976 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Handbook of e-Tourism by : Zheng Xiang

Download or read book Handbook of e-Tourism written by Zheng Xiang and published by Springer Nature. This book was released on 2022-09-01 with total page 1976 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an authoritative and truly comprehensive overview both of the diverse applications of information and communication technologies (ICTs) within the travel and tourism industry and of e-tourism as a field of scientific inquiry that has grown and matured beyond recognition. Leading experts from around the world describe cutting-edge ideas and developments, present key concepts and theories, and discuss the full range of research methods. The coverage accordingly encompasses everything from big data and analytics to psychology, user behavior, online marketing, supply chain and operations management, smart business networks, policy and regulatory issues – and much, much more. The goal is to provide an outstanding reference that summarizes and synthesizes current knowledge and establishes the theoretical and methodological foundations for further study of the role of ICTs in travel and tourism. The handbook will meet the needs of researchers and students in various disciplines as well as industry professionals. As with all volumes in Springer’s Major Reference Works program, readers will benefit from access to a continually updated online version.

Reviews in Recommender Systems: 2022

Author : Dominik Kowald
Publisher : Frontiers Media SA
ISBN 13 : 2832547664
Total Pages : 133 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Reviews in Recommender Systems: 2022 by : Dominik Kowald

Download or read book Reviews in Recommender Systems: 2022 written by Dominik Kowald and published by Frontiers Media SA. This book was released on 2024-04-10 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Big Data is delighted to present the ‘Reviews in Recommender Systems’ series of article collections. Reviews in Recommender Systems will publish high-quality scholarly review papers on key topics in recommender systems and their applications in our everyday lives, in search engines, online retail, news, entertainment, travel, social networks, and much more. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. We anticipate the research presented will promote discussion in the Big Data community that will translate to best practice applications in further research, industry, real-world implementations, public health, and policy settings.

Java By Comparison

Author : Simon Harrer
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680505890
Total Pages : 299 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis Java By Comparison by : Simon Harrer

Download or read book Java By Comparison written by Simon Harrer and published by Pragmatic Bookshelf. This book was released on 2018-03-22 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Write code that's clean, concise, and to the point: code that others will read with pleasure and reuse. Comparing your code to that of expert programmers is a great way to improve your coding skills. Get hands-on advice to level up your coding style through small and understandable examples that compare flawed code to an improved solution. Discover handy tips and tricks, as well as common bugs an experienced Java programmer needs to know. Make your way from a Java novice to a master craftsman. This book is a useful companion for anyone learning to write clean Java code. The authors introduce you to the fundamentals of becoming a software craftsman, by comparing pieces of problematic code with an improved version, to help you to develop a sense for clean code. This unique before-and-after approach teaches you to create clean Java code. Learn to keep your booleans in check, dodge formatting bugs, get rid of magic numbers, and use the right style of iteration. Write informative comments when needed, but avoid them when they are not. Improve the understandability of your code for others by following conventions and naming your objects accurately. Make your programs more robust with intelligent exception handling and learn to assert that everything works as expected using JUnit5 as your testing framework. Impress your peers with an elegant functional programming style and clear-cut object-oriented class design. Writing excellent code isn't just about implementing the functionality. It's about the small important details that make your code more readable, maintainable, flexible, robust, and faster. Java by Comparison teaches you to spot these details and trains you to become a better programmer. What You Need: You need a Java 8 compiler, a text editor, and a fresh mind.That's it.

Transfer Learning

Author : Qiang Yang
Publisher : Cambridge University Press
ISBN 13 : 1108860087
Total Pages : 394 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Transfer Learning by : Qiang Yang

Download or read book Transfer Learning written by Qiang Yang and published by Cambridge University Press. This book was released on 2020-02-13 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

Authorship Attribution

Author : Patrick Juola
Publisher : Now Publishers Inc
ISBN 13 : 160198118X
Total Pages : 116 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Authorship Attribution by : Patrick Juola

Download or read book Authorship Attribution written by Patrick Juola and published by Now Publishers Inc. This book was released on 2008 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.