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The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-...
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social...
New techniques and tools for database and database technologies are continuously being introduced. These technologies are the heart of many business information systems and can benefit from theories, models, and research results from other disciplines. Innovations in Database Design, Web Applications, and Information Systems Management presents ideal research in the areas of database theory, systems design, ontologies, and many more. Including examples of the convergence of ideas from various disciplines aimed at improving and developing the theory of information technology and management of information resources, this book is useful for researchers and practitioners in the IT field.
Alexander Dolgin’s Economics of Symbolic Exchange is in reality not one but three books, and although these semantic layers are interlinked, the reader will need to choose between the different vectors and modalities. One clearly evident dimension is research. Certain authors introduce quite new intellectual approaches into scienti?c debate. This requires a special frame of mind and a searching curiosity about social reality. Carl Gustav Jung identi?ed a p- nomenon which he called systematic blindness: when a science reaches a stage of maturity and equilibrium, it categorically refuses, from a sense of self-preservation, to note certain facts and phenomena which it ?nds inconvenient. In Al...
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 us...
For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert models of multidisciplinary clinical treatment decisions and solves challenges in their modeling. The presented methods, models and tools are developed in close and intensive cooperation between knowledge engineers and clinicians. In the course of this study, laryngeal cancer serves as an exemplary treatment decision. The reader is guided through a development process and new opportunities for research and development are opened up: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter-institutional modeling and quality management.
This book constitutes the reviewed proceedings of the Third International Conference on Modeling and Using Context, CONTEXT 2001, held in Dundee, UK in July 2001. The 30 full papers and 15 short papers presented were carefully reviewed, selected, and revised for inclusion in the proceedings. The papers presented deal with the interdisciplinary topic of modeling and using contextual information from various points of view, ranging through cognitive science, formal logic, artificial intelligence and information processing. Highly general philosophical and logical theories are complemented by specific applications in a variety of fields.