Technical And Regulatory Perspectives On Information Retrieval And Recommender Systems
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Technical And Regulatory Perspectives On Information Retrieval And Recommender Systems
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Author : Markus Schedl
language : en
Publisher: Springer Nature
Release Date : 2024-10-23
Technical And Regulatory Perspectives On Information Retrieval And Recommender Systems written by Markus Schedl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulatory approaches. While a basic knowledge of IRRSs is assumed to fully comprehend the more technical and algorithmic parts of the book, even a lay audience in terms of technical background should benefit from the book.
Recommender System With Machine Learning And Artificial Intelligence
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Author : Sachi Nandan Mohanty
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-09
Recommender System With Machine Learning And Artificial Intelligence written by Sachi Nandan Mohanty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Computers categories.
This 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.
Music Information Retrieval
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Author : Markus Schedl
language : en
Publisher:
Release Date : 2014
Music Information Retrieval written by Markus Schedl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.
Music Information Retrieval: Recent Developments and Applications surveys the young but established field of research that is Music Information Retrieval (MIR). In doing so, it pays particular attention to the latest developments in MIR, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. Music Information Retrieval: Recent Developments and Applications starts by reviewing the well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification ("query by example"). Subsequently, it elaborates on the current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. It concludes with a discussion about the major open challenges facing MIR.
Introduction To Information Retrieval
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Author : Christopher D. Manning
language : en
Publisher: Cambridge University Press
Release Date : 2008-07-07
Introduction To Information Retrieval written by Christopher D. Manning and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-07 with Computers categories.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Marketing And Smart Technologies
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Author : José Luís Reis
language : en
Publisher: Springer Nature
Release Date : 2025-03-12
Marketing And Smart Technologies written by José Luís Reis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Computers categories.
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2023), held at Faculty of Economics and Management (FEM), Czech University of Life Sciences Prague (CZU), in partnership with University College Prague (UCP), in Prague, Czech Republic, between 30 November and 2 December 2023. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Electronic Government And The Information Systems Perspective
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Author : Kim Normann Andersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-18
Electronic Government And The Information Systems Perspective written by Kim Normann Andersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-18 with Computers categories.
In front of you are the proceedings of the First International Conference on Electronic Government and Information Systems Perspective, EGOVIS. This conference builts on the tradition of its predecessors, the Electronic Government Conferences (EGOV) under the DEXA umbrella, which have been ongoing for nine years, but it also - cluded some innovations. In view of the large number of electronic government c- ferences, we found it important to focus the scope of the conference a little and to increase the quality requirements. Hence this year’s conference featured a tougher review process and a smaller set of accepted papers. As a result, these proceedings contain the very best papers of 2010 covering various important aspects of electronic government and information systems used in the public sector. With an acceptance rate of less than 20% EGOVIS belongs to the top ten conferences in the world. The Program Committee accepted 13 full papers and 11 short papers, covering the most recent research trends in electronic government implementations, such as ICT for eGovernment services and monitoring, knowledge and content management systems for temporal and geo-spatial applications, interoperability for electronic government integrated architectures, decision and support tools for eDemocracy and direct parti- pation of citizens in the policy-making strategies, and Web 2. 0 and 3. 0 approaches for collaborative and transparent public sector services.
The Role Of Data For Digital Markets Contestability
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Author : Jan Krämer
language : en
Publisher: Centre on Regulation in Europe asbl (CERRE)
Release Date : 2020-09-09
The Role Of Data For Digital Markets Contestability written by Jan Krämer and has been published by Centre on Regulation in Europe asbl (CERRE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Technology & Engineering categories.
This report analyses the processes that turn data into economic value for online search, e-commerce and media platforms. It concludes that forcing data sharing through policy intervention would not prevent dominant incumbents to continue to benefit economically from greater access to data over new entrants. Instead, policy makers should focus on enabling niche entry, niche growth and a level playing field for competitors in new and emerging markets. Data play a central role in the business models that shape competition and innovation in digital markets. As dominant providers of online services collect ever more user data they generate data-driven network effects. They can then improve their services faster, and venture faster into related markets than competitors with less data, thereby raising entry barriers for innovative start-ups. The authors, Sally Broughton Micova (CERRE & University of East Anglia), Jan Krämer (CERRE & University of Passau) and Daniel Schnurr (University of Passau), have analysed processes that transform data into economic value for online search, e-commerce and media platforms. They find that in each case, more data, especially on user behaviour, gradually improves the quality of the service, thereby generating high economic benefits for the firm. The authors find that data-driven network effects can nevertheless be a source of efficiency which can ultimately benefit consumers. Even if some data is shared through policy intervention, dominant incumbents will continue to benefit economically and competitively from greater access to data over new entrants. “We conclude that it is neither realistic nor desirable to try to break data-driven network effects through policy intervention. Instead, we would strongly encourage policy makers to focus on enabling niche entry and niche growth. To do so, they should facilitate the sharing of behavioural user data gathered by the dominant firm with other firms.” The authors provide policy recommendations for data access remedies to safeguard competition, innovation and the openness of the digital ecosystem: 1. Remedies that achieve a more level playing field in the digital economy by breaking the data-driven network effects of data-rich incumbents should be entertained as a last resort and only under specific conditions. 2. Policy makers should foster data sharing on two levels to strike a balance between consumers’ privacy, competition and innovation. They should require the sharing of aggregated and anonymised raw user data in bulk, after a careful review and on a case-by-case basis. They should also facilitate the sharing of detailed raw user data through improved data portability, based on individual users’ consent. Bulk sharing of raw user data should be limited to data that was collected as a by-product of the incumbent’s dominant user-facing service, such as search logs, in order to maintain incentives for innovation and data collection. The main challenge will be to balance privacy concerns with maintaining enough detailed data to ensure it is of value to third-parties. 3. Dominant firms should also be obliged to allow consumers to port their raw data to another provider continuously and in real time. Privacy concerns can then be overcome and the shared user profiles can be more detailed than under bulk sharing. In concert with bulk-sharing, data portability can be a valuable source for attaining both detailed and representative data sets.
Practical Approaches To Risk Minimisation For Medicinal Products
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Author : Council for International Organizations of Medical Sciences (CIOMS)
language : en
Publisher: Council for International Organizations of Medical Sciences
Release Date : 2014-12-31
Practical Approaches To Risk Minimisation For Medicinal Products written by Council for International Organizations of Medical Sciences (CIOMS) and has been published by Council for International Organizations of Medical Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with Medical categories.
Medical science continues to bridge new frontiers with an ever-widening array of medicinal products to treat illnesses and health conditions. No medicine is devoid of risk, however, and for that reason, it becomes paramount to appropriately manage all kinds of risks, from the very minor ones to those with serious adverse effects, with the objective being a positive balance of benefits to risks. Risk management of medicines is a wide and rapidly evolving concept and practice, following a medicine throughout its lifecycle, from first administration in humans through clinical studies and then marketing in the patient population at large. Previous reports from CIOMS I – VIII provided practical guidance in some essential components of risk management such as terminology and reporting of adverse drug reactions, management of safety information from clinical trials, and safety signal detection. Beyond the detection, identification, and characterization of risk, “risk minimization” is used as an umbrella term for the prevention or mitigation of an undesirable outcome. Risk management always includes tools for “routine risk minimization” such as product information, the format depending on the jurisdiction, to inform the patient and the prescriber, all of which serve to prevent or mitigate adverse effects. Until this current CIOMS IX document, limited guidance has been available on how to determine which risks need “additional risk minimization,” select the appropriate tools, apply and implement such tools globally and locally, and measure if they are effective and valuable. Included in the report is a CIOMS framework for the evaluation of effectiveness of risk minimization, a discussion of future trends and developments, an annex specifically addressing vaccines, and examples from real life.
The Adaptive Web
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Author : Peter Brusilovski
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-24
The Adaptive Web written by Peter Brusilovski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-24 with Computers categories.
This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.
Human Centered Ai An Illustrated Scientific Quest
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Author : Panagiotis Germanakos
language : en
Publisher: Springer Nature
Release Date : 2025-03-28
Human Centered Ai An Illustrated Scientific Quest written by Panagiotis Germanakos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
Embark on a captivating exploration of human-centered computing and AI, where the convergence of technology and human interaction unveils a world of endless possibilities. In the age of wireless communication, pervasive computing, and the Internet of Things, the synergy between humans and machines has never been more profound. This book delves deep into the heart of this symbiotic relationship, shedding light on the intricate dynamics that define our digital landscape. From the humble human-computer communications, via simple interaction points, to the complex web of virtual networks, every aspect of this journey is meticulously examined. Through a lens of innovation and insight, we navigate within the complex terrain of user actions, individual differences, and algorithmic computations. At the core of our exploration lies a quest for understanding—a quest that transcends the boundaries of traditional research and ventures into the realm of cutting-edge technology. Special emphasis is placed on promoting original insights and paradigms, incorporating aspects derived from psychological theory and individual differences in adaptive computational systems and recommenders. Our goal is simple yet ambitious: by enhancing explainability, fairness, transparency, and decreasing bias during interactions, to empower users with greater control and understanding of the technologies that shape their lives. Through a blend of visual storytelling and specialized textual contributions, we invite you to join us on this extraordinary journey. Whether you're a researcher, practitioner, or enthusiast in the field of AI and human-computer interaction, this book offers valuable insights and perspectives. Prepare to be inspired, enlightened, and empowered through this transformative journey as we unlock the true potential of technology in service of humanity.