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Recent Trends in VLSI and Semiconductor Packaging
by T. Vasudeva Reddy K. Madhava RaoThe International conference on Semiconductor Materials packaging, AI&ML, Reconfigurable VLSI architectures for IoT, future Communication Technologies (“SMART-2024”) aimed to provide a platform for researchers, academicians, industry experts, and practitioners to exchange ideas, present research findings, and discuss emerging trends and challenges in the specified fields. “SMART-2024” seeked to foster collaboration, innovation, and knowledge dissemination by bringing together experts and stakeholders from diverse backgrounds to address key issues and explore new research directions. The conference targeted a diverse audience including researchers, academicians, scientists, engineers, technologists, industry professionals, students, policymakers, and other stakeholders interested in VLSI, IoT, AI-ML, communication systems, semiconductor packaging, hetero architecture devices, and Nano materials.
Recent Trends of Mobile Collaborative Augmented Reality Systems
by Weidong Huang Leila AlemThe use of mobile collaborative AR has expended rapidly in recent years, due to the major advances in hardware and networking. The application areas are diverse and multidisciplinary. Recent Trends of Mobile Collaborative Augmented Reality Systems provides a historical overview of previous mobile collaborative AR systems, presents case studies of latest developments in current mobile collaborative AR systems, and latest technologies and system architectures used in this field. Recent Trends of Mobile Collaborative Augmented Reality Systems is designed for a professional audience composed of practitioners and researchers working in the field of augmented reality and human-computer interaction. Advanced-level students in computer science and electrical engineering focused on this topic will also find this book useful as a secondary text or reference.
Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications (Studies in Fuzziness and Soft Computing #425)
by Oscar Castillo Anupam KumarThis book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications.
Rechnerarchitektur für Dummies (Für Dummies)
by Jürgen NeuschwanderDieses Buch bietet eine kompakte, verständliche Einführung in das Thema "Rechnerarchitektur". Alle heute essenziellen Themengebiete werden behandelt. Der Schwerpunkt des Buches liegt auf der systemtechnischen funktionalen Beschreibung von Rechnern, ihren Komponenten und Prozessen, ohne auf die unzähligen Details dedizierter Systeme einzugehen. Die funktionale Darstellung mittels geeigneter Modellierungstechniken erlaubt das grundsätzliche Verständnis dieser Systeme, unabhängig von der jeweiligen Art der Realisierung und dem aktuellen Stand der Technologie. So müssen Sie keine Sorge haben, dass Sie sich bei der Prüfungsvorbereitung in den Details verlieren.
Recht ex machina
by Christian Baumann Daniel Oberle Richard Wacker Christian Funk Oliver RaabeIm Internet werden Informationen immer häufiger so ausgezeichnet, dass sie für Computer interpretierbar sind (Semantic Web). Solche maschinenlesbaren Informationen sorgen dafür, dass Dienste im Internet verfügbar gemacht und gefunden werden können. Diese Automatisierung schafft eine neue Rechtslage und stellt sowohl für die Rechtspflege als auch für Geschäftspartner eine Herausforderung dar. In dem Band präsentieren die Autoren eine automatisierte Rechtsfolgenermittlung als praxisrelevanten Ansatz zur Herstellung von Rechtssicherheit.
Recht für Medienberufe
by Clemens KaeslerMit diesem Buch finden Sie sich schnell im Dschungel der medienspezifischen Rechtsfragen zurecht. Es orientiert sich am Lehrplan und hilft Ihnen, die für Ihren Beruf relevanten Themen schnell zu begreifen und mit ihnen umgehen zu können. Insbesondere liegt der Schwerpunkt auf dem Urheberrecht, dem Kennzeichen- und Markenrecht, dem Internetrecht, dem Wettbewerbsrecht sowie dem Datenschutz und Presserecht.
Rechtliche Herausforderungen von Blockchain-Anwendungen: Straf-, Datenschutz- und Zivilrecht (essentials)
by Cathrin Hein Wanja Wellbrock Christoph HeinDas essential fasst den aktuellen Stand der rechtlichen Herausforderungen der Blockchain-Technologie anhand von Beispielen kurz und prägnant zusammen. Als branchen-revolutionierende Technologie stellt die Blockchain das Recht vor besondere Herausforderungen. Die Pseudonymität der Blockchain-Teilnehmer und die Unveränderbarkeit von in der Blockchain gespeicherten Daten scheinen im Konflikt mit wesentlichen Grundgedanken des Datenschutzrechts zu stehen. Auch die Frage nach der national anzuwendenden Rechtsordnung, der gerichtlichen Zuständigkeit und der Beweiskraft von Blockchain-Transaktionen werfen spannende Fragen auf. Die Autoren erörtern Aspekte des Straf- und Zivilrechts und zeigen Lösungsansätze. Die 2. Auflage des Essentials spiegelt alle rechtlichen Entwicklungen der letzten Jahre wider, sodass die Leser stets auf dem aktuellsten Stand sind.
Reciprocal Constructions in Meitei and Nyishi
by Atanu SahaThis book investigates three interesting questions arising from the intriguing cross-linguistic perspective of Meiteilon and Nyishi, two Tibeto-Burman languages respectively spoken in the states of Manipur and Arunachal Pradesh in India. The first question relates to developing a model for the syntax and semantics of these verbal reciprocal languages. Secondly, the book attempts to provide an account of the surface variations between the languages using this model. The book also tries to build an account for the co-occurrences of the nominal and verbal reciprocals in languages like Meiteilon and Nyishi. Both languages use a verbal strategy for default reciprocalization and both the languages show discontinuous reciprocity. The author argues that if the reciprocal marker consists of one suffix (as in the case of Meiteilon), it may express several other functions, but if the reciprocal marker composes of more than one suffix (as in Nyishi), it does not show polysemy. Both languages can reciprocalize unaccusative and unergative verbs, and in both the languages, overt distributive nominal reciprocal markers show strong reciprocity. This book will be of interest to syntacticians and typologists working in the domain of universal grammar, as well as computational linguists seeking empirical data on endangered and underrepresented languages.
Reciprocity, Evolution, and Decision Games in Network and Data Science
by Yan Chen Chunxiao Jiang Chih-Yu Wang K.J. Ray LiuLearn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.
Reclaiming Personalized Learning: A Pedagogy for Restoring Equity and Humanity in Our Classrooms
by Paul Emerich FranceWhere exactly did personalized learning go so wrong? For teacher and consultant Paul France, at first technology-powered personalized learning seemed like a panacea. But after three years spent at a personalized learning start-up and network of microschools, he soon realized that such corporate-driven individualized learning initiatives do more harm than good, especially among our most vulnerable students. The far-superior alternative? A human-centered pedagogy that prioritizes children over technology. First, let’s be clear: Reclaiming Personalized Learning is not yet-another ed tech book. Instead it’s a user’s guide to restoring equity and humanity to our classrooms and schools through personalization. One part polemical, eleven parts practical, the book describes how to: Shape whole-class instruction, leverage small-group interactions, and nurture a student’s inner-dialogue Cultivate awareness within and among students, and build autonomy and authority Design curriculum with a flexible frame and where exactly the standards fit Humanize assessment and instruction, including the place of responsive teaching Create a sense of belonging, humanize technology integration, and effect socially just teaching and learning—all central issues in equity The truth is this: there’s no one framework, there’s no one tool that makes learning personalized–what personalized learning companies with a vested interest in profits might tempt you to believe. It’s people who personalize learning, and people not technology must be at the center of education. The time is now for all of us teachers to reclaim personalized learning, and this all-important book is our very best resource for getting started. “This is a compelling and critically important book for our time. With rich stories of teaching and learning Paul France considers ways to create the most positive learning experiences possible.” - JO BOALER, Nomellini & Olivier Professor of Education, Stanford Graduate School of Education “This brilliant book is a major contribution to the re-imagination of learning and teaching for the twenty-first century and should be essential reading for new and experienced teachers alike." - TONY WAGNER, Senior Research Fellow, Learning Policy Institute “In these troubled times, this book is more than a breath of fresh air, it is a call to action. Paul gives us an accessible and sophisticated book that explains how and why we should celebrate the humanity of every single student.” - JIM KNIGHT, Senior Partner of the Instructional Coaching Group (ICG) and Author of The Impact Cycle
Reclaiming Personalized Learning: A Pedagogy for Restoring Equity and Humanity in Our Classrooms
by Paul Emerich FranceWhere exactly did personalized learning go so wrong? For teacher and consultant Paul France, at first technology-powered personalized learning seemed like a panacea. But after three years spent at a personalized learning start-up and network of microschools, he soon realized that such corporate-driven individualized learning initiatives do more harm than good, especially among our most vulnerable students. The far-superior alternative? A human-centered pedagogy that prioritizes children over technology. First, let’s be clear: Reclaiming Personalized Learning is not yet-another ed tech book. Instead it’s a user’s guide to restoring equity and humanity to our classrooms and schools through personalization. One part polemical, eleven parts practical, the book describes how to: Shape whole-class instruction, leverage small-group interactions, and nurture a student’s inner-dialogue Cultivate awareness within and among students, and build autonomy and authority Design curriculum with a flexible frame and where exactly the standards fit Humanize assessment and instruction, including the place of responsive teaching Create a sense of belonging, humanize technology integration, and effect socially just teaching and learning—all central issues in equity The truth is this: there’s no one framework, there’s no one tool that makes learning personalized–what personalized learning companies with a vested interest in profits might tempt you to believe. It’s people who personalize learning, and people not technology must be at the center of education. The time is now for all of us teachers to reclaim personalized learning, and this all-important book is our very best resource for getting started. “This is a compelling and critically important book for our time. With rich stories of teaching and learning Paul France considers ways to create the most positive learning experiences possible.” - JO BOALER, Nomellini & Olivier Professor of Education, Stanford Graduate School of Education “This brilliant book is a major contribution to the re-imagination of learning and teaching for the twenty-first century and should be essential reading for new and experienced teachers alike." - TONY WAGNER, Senior Research Fellow, Learning Policy Institute “In these troubled times, this book is more than a breath of fresh air, it is a call to action. Paul gives us an accessible and sophisticated book that explains how and why we should celebrate the humanity of every single student.” - JIM KNIGHT, Senior Partner of the Instructional Coaching Group (ICG) and Author of The Impact Cycle
Reclaiming Personalized Learning: A Pedagogy for Restoring Equity and Humanity in Our Classrooms
by Paul Emerich FrancePut the person back in personalization with a touch of humanity. It’s a paradox: technology to individualize curriculum has made classrooms less personal. Let’s instead trust educators to make learning personal by supporting student agency, self-awareness, and the intimate personal connections found in authentic learning experiences. In the second edition of this groundbreaking book—newly streamlined, and updated with insights from the pandemic—Paul France presents a vision of humanized personalization that rejects the corporate mindset and instead holds equity and inclusion at its center. France leverages over a decade of experience as a National Board Certified Teacher, education consultant, and education technology developer, sharing the following: Practical guidance on designing inclusive learning environments for diverse groups Sustainable applications for humanized personalization in curriculum design, assessment, and instruction Real-life stories from the author’s experience on both sides of the personalization debate A multitude of classroom tools, adaptable to a variety of instructional contexts Nobody understands the need for humanizing education better than teachers. While educators across the country have learned that inundating students with personalized learning technologies is not the way to go, many don’t know how to personalize learning without them. The time to humanize personalized learning and our classrooms is now—and this book will give you a place to start.
Reclaiming Personalized Learning: A Pedagogy for Restoring Equity and Humanity in Our Classrooms
by Paul Emerich FrancePut the person back in personalization with a touch of humanity. It’s a paradox: technology to individualize curriculum has made classrooms less personal. Let’s instead trust educators to make learning personal by supporting student agency, self-awareness, and the intimate personal connections found in authentic learning experiences. In the second edition of this groundbreaking book—newly streamlined, and updated with insights from the pandemic—Paul France presents a vision of humanized personalization that rejects the corporate mindset and instead holds equity and inclusion at its center. France leverages over a decade of experience as a National Board Certified Teacher, education consultant, and education technology developer, sharing the following: Practical guidance on designing inclusive learning environments for diverse groups Sustainable applications for humanized personalization in curriculum design, assessment, and instruction Real-life stories from the author’s experience on both sides of the personalization debate A multitude of classroom tools, adaptable to a variety of instructional contexts Nobody understands the need for humanizing education better than teachers. While educators across the country have learned that inundating students with personalized learning technologies is not the way to go, many don’t know how to personalize learning without them. The time to humanize personalized learning and our classrooms is now—and this book will give you a place to start.
Reclaiming Shilo Snow: The Pulse-Pounding Sequel to The Evaporation of Sofi Snow (Sofi Snow #2)
by Mary WeberShe was far more capable than Earth's leaders had accounted for, and they had no idea what she'd do next.“In this sequel to The Evaporation of Sofi Snow, Weber takes a darker tone, delving into alien abduction, experimentation on children, the machinations of power-hungry politicians, and black-market corruption . . . This is a well-paced page-turner.” —Kirkus ReviewsKnown as a brilliant mind that could hack her world’s darkest secrets, seventeen-year-old Sofi Snow is the most wanted teenager alive. She found her way to the icy, technologically brilliant planet of Delon to find Shilo, the brother everyone but Sofi believes is dead.But as she and Ambassador Miguel partner to find her brother and warn those on Earth of Delon’s dark designs on humanity, Sofi’s memories threaten to overtake her, distorting everything she holds true. She knows the Delonese once kept her in a dark, deceptive place . . . and destroyed a portion of her life. Now, the more they discover of Sofi’s past, the more Sofi feels herself unraveling—as each new revelation has her questioning the very existence of reality.In this harrowing sequel to The Evaporation of Sofi Snow, Sofi and Miguel must trust each other and discover the secrets locked inside Sofi’s mind as the line between what’s real and what they imagine begins to slip away . . . threatening to take the human race with it.
Recoding Gender
by Janet AbbateToday, women earn a relatively low percentage of computer science degrees and hold proportionately few technical computing jobs. Meanwhile, the stereotype of the male "computer geek" seems to be everywhere in popular culture. Few people know that women were a significant presence in the early decades of computing in both the United States and Britain. Indeed, programming in postwar years was considered woman's work (perhaps in contrast to the more manly task of building the computers themselves). In Recoding Gender, Janet Abbate explores the untold history of women in computer science and programming from the Second World War to the late twentieth century. Demonstrating how gender has shaped the culture of computing, she offers a valuable historical perspective on today's concerns over women's underrepresentation in the field. Abbate describes the experiences of women who worked with the earliest electronic digital computers: Colossus, the wartime codebreaking computer at Bletchley Park outside London, and the American ENIAC, developed to calculate ballistics. She examines postwar methods for recruiting programmers, and the 1960s redefinition of programming as the more masculine "software engineering." She describes the social and business innovations of two early software entrepreneurs, Elsie Shutt and Stephanie Shirley; and she examines the career paths of women in academic computer science. Abbate's account of the bold and creative strategies of women who loved computing work, excelled at it, and forged successful careers will provide inspiration for those working to change gendered computing culture.
Recoding Gender: Women's Changing Participation in Computing (History of Computing)
by Janet AbbateThe untold history of women and computing: how pioneering women succeeded in a field shaped by gender biases.Today, women earn a relatively low percentage of computer science degrees and hold proportionately few technical computing jobs. Meanwhile, the stereotype of the male “computer geek” seems to be everywhere in popular culture. Few people know that women were a significant presence in the early decades of computing in both the United States and Britain. Indeed, programming in postwar years was considered woman's work (perhaps in contrast to the more manly task of building the computers themselves). In Recoding Gender, Janet Abbate explores the untold history of women in computer science and programming from the Second World War to the late twentieth century. Demonstrating how gender has shaped the culture of computing, she offers a valuable historical perspective on today's concerns over women's underrepresentation in the field.Abbate describes the experiences of women who worked with the earliest electronic digital computers: Colossus, the wartime codebreaking computer at Bletchley Park outside London, and the American ENIAC, developed to calculate ballistics. She examines postwar methods for recruiting programmers, and the 1960s redefinition of programming as the more masculine “software engineering.” She describes the social and business innovations of two early software entrepreneurs, Elsie Shutt and Stephanie Shirley; and she examines the career paths of women in academic computer science.Abbate's account of the bold and creative strategies of women who loved computing work, excelled at it, and forged successful careers will provide inspiration for those working to change gendered computing culture.
Recommendation Engines (The MIT Press Essential Knowledge series)
by Michael SchrageHow companies like Amazon, Netflix, and Spotify know what "you might also like": the history, technology, business, and societal impact of online recommendation engines.Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences "you might also like."
Recommendation Systems in Software Engineering
by Walid Maalej Martin P. Robillard Robert J. Walker Thomas ZimmermannWith 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.
Recommendation and Search in Social Networks
by Özgür Ulusoy Abdullah Uz Tansel Erol ArkunThis edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.
Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries
by Jyotir Moy Chatterjee Sachi Nandan Mohanty Sarika Jain Priya Gupta Ahmed A. ElngarThis book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior. Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare 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. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.
Recommender Systems
by Markus Zanker Dietmar Jannach Alexander Felfernig Gerhard FriedrichIn this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.
Recommender Systems
by Charu C. AggarwalThisbook comprehensively covers the topic of recommender systems, which providepersonalized recommendations of products or services to users based on theirprevious searches or purchases. Recommender system methods have been adapted todiverse applications including query log mining, social networking, newsrecommendations, and computational advertising. This book synthesizes bothfundamental and advanced topics of a research area that has now reachedmaturity. The chapters of this book are organized into three categories: - Algorithms and evaluation: Thesechapters discuss the fundamental algorithms in recommender systems, includingcollaborative filtering methods, content-based methods, knowledge-basedmethods, ensemble-based methods, and evaluation. - Recommendations in specific domains and contexts: the context of a recommendationcan be viewed as important side information that affects the recommendationgoals. Different types of context such as temporal data, spatial data, socialdata, tagging data, and trustworthiness are explored. - Advanced topics and applications: Various robustness aspects of recommender systems, such as shillingsystems, attack models, and their defenses are discussed. Inaddition, recent topics, such as learning to rank, multi-armed bandits, groupsystems, multi-criteria systems, and active learning systems, are introducedtogether with applications. Although this book primarily serves as atextbook, it will also appeal to industrial practitioners and researchers dueto its focus on applications and references. Numerous examples and exerciseshave been provided, and a solution manual is available for instructors.
Recommender Systems
by Gérald Kembellec Ghislaine Chartron Imad SalehAcclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.
Recommender Systems Handbook
by Lior Rokach Francesco Ricci Bracha ShapiraThis 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.
Recommender Systems for Learning
by Katrien Verbert Hendrik Drachsler Erik Duval Nikos ManouselisTechnology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.