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Author: Kyung-Hyan Yoo Publisher: Springer Science & Business Media ISBN: 146144702X Category : Computers Languages : en Pages : 59
Book Description
Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding influential factors in advice seeking relationships, which is abundant in the context of human-human relationships, can provide an important framework for identifying potential influence factors in recommender system context. This book reviews the existing literature on the factors in advice seeking relationships in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.
Author: Kyung-Hyan Yoo Publisher: Springer Science & Business Media ISBN: 146144702X Category : Computers Languages : en Pages : 59
Book Description
Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding influential factors in advice seeking relationships, which is abundant in the context of human-human relationships, can provide an important framework for identifying potential influence factors in recommender system context. This book reviews the existing literature on the factors in advice seeking relationships in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.
Author: Yvonne de Kort Publisher: Springer ISBN: 3540770062 Category : Computers Languages : en Pages : 316
Book Description
This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Persuasive Technology for Human Well-Being, PERSUASIVE 2007, held in Palo Alto, CA, USA, in April 2007. The 37 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections and cover a broad range of subjects.
Author: Nilufar Baghaei Publisher: Springer Nature ISBN: 3030984389 Category : Computers Languages : en Pages : 287
Book Description
This book constitutes the refereed post-conference proceedings of the 17th International Conference on Persuasive Technology, PERSUASIVE 2022, held as a virtual event, in March 2022. The 13 full papers presented in this book together with 7 short papers were carefully reviewed and selected from 46 submissions.
Author: Dietmar Jannach Publisher: Cambridge University Press ISBN: 1139492594 Category : Computers Languages : en Pages :
Book Description
In 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.
Author: Francesco Ricci Publisher: Springer Science & Business Media ISBN: 0387858202 Category : Computers Languages : en Pages : 842
Book Description
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-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. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
Author: Peter W. de Vries Publisher: Springer ISBN: 3319551345 Category : Computers Languages : en Pages : 309
Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Persuasive Technology, PERSUASIVE 2017, held in Amsterdam, The Netherlands, in April 2017. The 23 revised full papers presented were carefully reviewed and selected from 85 submissions. The papers are grouped in topical sections on health(care), monitoring, and coaching; personality, personalization, and persuasion; motivations, facilitators, and barriers; design principles and strategies.
Author: Harri Oinas-Kukkonen Publisher: Springer ISBN: 3540685049 Category : Computers Languages : en Pages : 300
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Persuasive Technology, PERSUASIVE 2008, held in Oulu, Finland, in June 2008. The 17 revised full papers and 12 revised short papers presented together with 3 keynote papers were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on social network systems, knowledge management, applications, conceptual frameworks, perspectives on persuasive technology, peer-to-peer and social networks, self-persuasion and timing, well-being applications, and theoretical considerations.
Author: Alexander Felfernig Publisher: Springer ISBN: 3319750674 Category : Technology & Engineering Languages : en Pages : 173
Book Description
This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.
Author: Sharda, Nalin Publisher: IGI Global ISBN: 1605668192 Category : Computers Languages : en Pages : 354
Book Description
"This book presents innovative research being conducted into Travel Recommender Systems, travel related on-line communities, and their user interface design"--Provided by publisher.
Author: Thomas MacTavish Publisher: Springer ISBN: 3319203061 Category : Computers Languages : en Pages : 265
Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Persuasive Technology, PERSUASIVE 2015, held in Chicago, IL, USA in June 2015. The 19 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 41 submissions. The papers are grouped in topical sections on understanding individuals, empowering individuals and understanding and empowering communities.
Author: Kyung-Hyan Yoo
Author: Kyung-Hyan Yoo
Author: Yvonne de Kort
Author: Nilufar Baghaei
Author: Dietmar Jannach
Author: Francesco Ricci
Author: Peter W. de Vries
Author: Harri Oinas-Kukkonen
Author: Alexander Felfernig
Author: Sharda, Nalin
Author: Thomas MacTavish