Persuasive Recommender Systems Conceptual Background and Implications /

• Main Authors: Yoo, Kyung-Hyan (Author), Gretzel, Ulrike (Author), Zanker, Markus (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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 understandi...

Table of Contents:

• Introduction
• Theoretical Background
• Source Factors
• Message Factors
• Receiver and Context Factors
• Discussion
• Implications for Recommender System Design
• Directions for future research.