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Persuasive Recommender Systems

Conceptual Background and Implications

  • Book
  • © 2013

Overview

Authors:
  1. Kyung-Hyan Yoo

    1. , Communication Department, William Paterson University, Wayne, USA

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  2. Ulrike Gretzel

    1. , Institute for Innovation in Business, University of Wollongong, Wollongong, Australia

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    You can also search for this author in PubMed   Google Scholar

  3. Markus Zanker

    1. Alpen-Adria-Universitaet Klagenfurt, Klagenfurt, Austria

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

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Introduction

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 1-2

  3. Theoretical Background

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 3-7

  4. Source Factors

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 9-19

  5. Message Factors

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 21-26

  6. Receiver and Context Factors

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 27-33

  7. Discussion

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 35-36

  8. Implications for Recommender System Design

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 37-44

  9. Directions for Future Research

    • Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker
    Pages 45-46

  10. Back Matter

    Pages 47-59
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Keywords

About this book

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.

Authors and Affiliations

  • , Communication Department, William Paterson University, Wayne, USA

    Kyung-Hyan Yoo

  • , Institute for Innovation in Business, University of Wollongong, Wollongong, Australia

    Ulrike Gretzel

  • Alpen-Adria-Universitaet Klagenfurt, Klagenfurt, Austria

    Markus Zanker

Bibliographic Information

  • Book Title: Persuasive Recommender Systems

  • Book Subtitle: Conceptual Background and Implications

  • Authors: Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker

  • Series Title: SpringerBriefs in Electrical and Computer Engineering

  • DOI: https://doi.org/10.1007/978-1-4614-4702-3

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s) 2013

  • Softcover ISBN: 978-1-4614-4701-6Published: 17 August 2012

  • eBook ISBN: 978-1-4614-4702-3Published: 17 August 2012

  • Series ISSN: 2191-8112

  • Series E-ISSN: 2191-8120

  • Edition Number: 1

  • Number of Pages: VI, 59

  • Number of Illustrations: 9 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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