Influence Of Recommender Systems On Consumer Behavior

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Influence Of Recommender Systems On Consumer Behavior
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Author : Markus Lill
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-03-13
Influence Of Recommender Systems On Consumer Behavior written by Markus Lill and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Business & Economics categories.
In the dynamic landscape of digital platforms, recommender systems silently guide our decisions, shaping what we watch, read, and buy. But how do these algorithms influence our behavior beyond convenience and personalization? This dissertation delves into the psychological undercurrents of recommender systems, uncovering how subtle design choices trigger behavioral biases that affect consumer preferences, beliefs, and decisions. Through a series of rigorous field experiments, this work explores three critical dimensions of recommender systems: item selection, ranking, and recommendation design. It reveals how phenomena like assimilation and contrast effects, as well as visual cues such as product badges, can subtly yet powerfully steer consumer behavior. Challenging traditional recommender system design priorities, the findings highlight that similarity can sometimes outweigh diversity and that strategic positioning can defy conventional assumptions about user attention. Combining a systematic literature review with empirical evidence from real-world settings, this dissertation offers insights into the interplay between technology and human cognition. It is an essential read for scholars, practitioners, and platform designers seeking to understand - and ethically harness - the behavioral dynamics of recommender systems.
Influence Of Recommender Systems On Consumer Behavior
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Author : Markus Lill
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-02-11
Influence Of Recommender Systems On Consumer Behavior written by Markus Lill and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Business & Economics categories.
In the dynamic landscape of digital platforms, recommender systems silently guide our decisions, shaping what we watch, read, and buy. But how do these algorithms influence our behavior beyond convenience and personalization? This dissertation delves into the psychological undercurrents of recommender systems, uncovering how subtle design choices trigger behavioral biases that affect consumer preferences, beliefs, and decisions. Through a series of rigorous field experiments, this work explores three critical dimensions of recommender systems: item selection, ranking, and recommendation design. It reveals how phenomena like assimilation and contrast effects, as well as visual cues such as product badges, can subtly yet powerfully steer consumer behavior. Challenging traditional recommender system design priorities, the findings highlight that similarity can sometimes outweigh diversity and that strategic positioning can defy conventional assumptions about user attention. Combining a systematic literature review with empirical evidence from real-world settings, this dissertation offers insights into the interplay between technology and human cognition. It is an essential read for scholars, practitioners, and platform designers seeking to understand - and ethically harness - the behavioral dynamics of recommender systems.
Persuasive Technology
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Author : Yvonne de Kort
language : en
Publisher: Springer
Release Date : 2007-11-24
Persuasive Technology written by Yvonne de Kort and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-24 with Computers categories.
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.
Permutation Tests
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Author : Phillip Good
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Permutation Tests written by Phillip Good 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 2013-03-09 with Mathematics categories.
Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric sta tistics. Flexible, robust in the face of missing data and violations of assump tions, the permutation test is among the most powerful of statistical proce dures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real life emergencies such as missing or censored data, after-the-fact covariates, and outliers. Chapter 10 uses practical applications in archeology, biology, climatology, education and social science to show the research worker how to develop new permutation statistics to meet the needs of specific applications. The practitioner will find Chapter 10 a source of inspiration as well as a practical guide to the development of new and novel statistics.
Recommender Systems
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Author : Dietmar Jannach
language : en
Publisher: Cambridge University Press
Release Date : 2010-09-30
Recommender Systems written by Dietmar Jannach 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 2010-09-30 with Computers categories.
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.
Fashion Recommender Systems
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Author : Nima Dokoohaki
language : en
Publisher: Springer
Release Date : 2021-11-06
Fashion Recommender Systems written by Nima Dokoohaki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-06 with Science categories.
This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail and fashion. The volume covers contributions from academic as well as industrial researchers active within this emerging new field. Recommender Systems are often used to solve different complex problems in this scenario, such as social fashion-based recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations. The impact of social networks and the influence that fashion influencers have on the choices people make for shopping is undeniable. For instance, many people use Instagram to learn about fashion trends from top influencers, which helps them to buy similar or even exact outfits from the tagged brands in the post. When traced, customers’ social behavior can be a very useful guide for online shopping websites, providing insights on the styles the customers are really interested in, and hence aiding the online shops in offering better recommendations and facilitating customers quest for outfits. Another well known difficulty with recommendation of similar items is the large quantities of clothing items which can be considered similar, but belong to different brands. Relying only on implicit customer behavioral data will not be sufficient in the coming future to distinguish between for recommendation that will lead to an item being purchased and kept, vs. a recommendation that might result in either the customer not following it, or eventually return the item. Finding the right size and fit for clothes is one of the major factors not only impacting customers purchase decision, but also their satisfaction from e-commerce fashion platforms. Moreover, fashion articles have important sizing variations. Finally, customer preferences towards perceived article size and fit for their body remain highly personal and subjective which influences the definition of the right size for each customer. The combination of the above factors leaves the customers alone to face a highly challenging problem of determining the right size and fit during their purchase journey, which in turn has resulted in having more than one third of apparel returns to be caused by not ordering the right article size. This challenge presents a huge opportunity for research in intelligent size and fit recommendation systems and machine learning solutions with direct impact on both customer satisfaction and business profitability.
Hci In Business Government And Organizations Ecommerce And Consumer Behavior
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Author : Fiona Fui-Hoon Nah
language : en
Publisher: Springer
Release Date : 2019-07-10
Hci In Business Government And Organizations Ecommerce And Consumer Behavior written by Fiona Fui-Hoon Nah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Computers categories.
This two-volume set LNCS 11588 and 11589 constitutes the refereed proceedings of the 6th International Conference on Business, Government, and Organizations, HCIBGO 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 63 papers presented in these two volumes are organized in topical sections named: Electronic, Mobile and Ubiquitous Commerce, eBanking and Digital Money, Consumer Behaviour, Business Information Systems, Dashboards and Visualization, Social Media and Big Data Analytics in B
Persuasive Technology
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Author : Thomas MacTavish
language : en
Publisher: Springer
Release Date : 2015-05-25
Persuasive Technology written by Thomas MacTavish and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-25 with Computers categories.
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.
Romanian Management Theory And Practice
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Author : Ovidiu Nicolescu
language : en
Publisher: Springer Nature
Release Date : 2024-09-19
Romanian Management Theory And Practice written by Ovidiu Nicolescu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-19 with Business & Economics categories.
This open access book provides the current research on the features of Romanian management theory and practices. It explores Romania’s position in the global supply chain; Romanian firm’s contributions to the new global economy; and the processes and effect of internationalization and digitization on the Romanian economy. Romanian management practices, similar with other Eastern European nations, has a unique development. In the late 19th and early 20th century, they were an integral part of western management thinking. However, with the forced adoption of a communist political system and the nationalization of the Romanian economy, the managerial systems were recalibrated to replace profit maximizing objectives with social objectives yielding mixed results. Since the revolution of 1989 and the integration into NATO and the European Union, Romanian management systems are once again an integral part of the global economy. As the COVID-19 crisis revealed the limitations of globalization and the overreliance on Asian suppliers, Romania, along with the rest of Eastern Europe will continue to be integrated into the global economy and become a dependable alternative to Asian suppliers. This is an open access book.
Deep Learning Explained Theory Applications And Future Directions
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Author : ASHISH KUMAR , ABHISHEK DAS, SHYAMAKRISHNA SIDDHARTH CHAMARTHY, PROF. (DR) PUNIT GOEL
language : en
Publisher: DeepMisti Publication
Release Date : 2024-10-19
Deep Learning Explained Theory Applications And Future Directions written by ASHISH KUMAR , ABHISHEK DAS, SHYAMAKRISHNA SIDDHARTH CHAMARTHY, PROF. (DR) PUNIT GOEL and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Computers categories.
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Deep Learning Explained: Theory, Applications, and Future Directions, is conceived to bridge the gap between emerging technological advancements in artificial intelligence and their strategic application across various industries. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of deep learning technologies, from foundational theories to advanced applications. We delve into the critical aspects that drive successful AI innovations in fields such as healthcare, finance, e-commerce, and autonomous systems. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, researchers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from technological development and AI adoption to the strategic management of deep learning innovations. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of presenting innovative ideas and solutions in a precise and academically rigorous manner. The inspiration for this book arises from a recognition of the crucial role that deep learning and AI technologies play in shaping the future of industries and businesses. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how deep learning can be harnessed to drive future innovations. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating innovative solutions that will shape the future of technology. Thank you for joining us on this journey. Authors