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Persuasive Recommender Systems

Conceptual Background and Implications

  • Kyung-Hyan Yoo
  • Ulrike Gretzel
  • Markus Zanker

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 1-2
  3. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 3-7
  4. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 9-19
  5. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 21-26
  6. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 27-33
  7. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 35-36
  8. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 37-44
  9. Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 45-46
  10. Back Matter
    Pages 47-59

About this book

Introduction

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.

Keywords

Advice seeking Communication factors Computers as Social Actors Conversational recommender systems Human-computer Interaction Persuasive Technology Recommender Systems System design

Authors and affiliations

  • Kyung-Hyan Yoo
    • 1
  • Ulrike Gretzel
    • 2
  • Markus Zanker
    • 3
  1. 1., Communication DepartmentWilliam Paterson UniversityWayneUSA
  2. 2., Institute for Innovation in BusinessUniversity of WollongongWollongongAustralia
  3. 3.Alpen-Adria-Universitaet KlagenfurtKlagenfurtAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4702-3
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-4701-6
  • Online ISBN 978-1-4614-4702-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site