This paper examines the influence of the six principles of persuasion on five types of recommender system to determine the mechanism of persuasion influence for each type of recommender in e-commerce applications. We undertook an interdisicplinary literature review including references from persuasion in social psychology, recommender systems in artificial intelligence, and persuasion technology in psychology and computer science was conducted and applicable resources analyzed. Our table was compiled based on supporting literature and analysis to examine the intersection between persuasion principle, type of recommender, and whether that recommender leverages the principle and the method of influence utilized by each in e-commerce applications. We conclude that robust support has been found in the literature supporting recommender systems as a persuasion technology that is inherently persuasive capabilities. Research ans analysis support recommender systems as an effective tool to drive sales and boost revenues in e-commerce. Ethical implications, as well as future research directions, are explored and complete this present inquiry.

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.

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.

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.

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.

This book constitutes the proceedings of the 5th International Conference on Persuasive Technology, PERSUASIVE 2010, held in Copenhagen Denmark in June 2010. The 25 papers presented were carefully reviewed and selected from 80 submissions. In addition three keynote papers are included in this volume. The topics covered are emotions and user experience, ambient persuasive systems, persuasive design, persuasion profiles, designing for health, psychology of persuasion, embodied and conversational agents, economic incentives, and future directions for persuasive technology.

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.

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.

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.

Bringing together the work of leading researchers, this book provides a clear and accessible overview of current research on destination recommendation systems. These systems guide consumer behaviour by enabling Internet users to quickly and effectively find relevant information about travel destinations, attractions, accommodation and transportation. The chapters in this book cover consumer behaviour, perceptual factors influencing consumer choice, and the design of destination recommendation systems. The book examines four different types of destination marketing system and concludes by analysing the future of recommendation systems for travellers.