Persuasive Recommender Systems Persuasive Recommender Systems

Persuasive Recommender Systems

Conceptual Background and Implications

Kyung-Hyan Yoo and Others
    • $59.99
    • $59.99

Publisher Description

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.

GENRE
Computing & Internet
RELEASED
2012
17 August
LANGUAGE
EN
English
LENGTH
65
Pages
PUBLISHER
Springer New York
SELLER
Springer Nature B.V.
SIZE
649
KB

More Books Like This

Social Computing and Social Media. Communication and Social Communities Social Computing and Social Media. Communication and Social Communities
2019
Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing
2020
Intuition, Trust, and Analytics Intuition, Trust, and Analytics
2017
Social Computing and Social Media Social Computing and Social Media
2016
Why Engagement Matters Why Engagement Matters
2016
Blurring the Boundaries Through Digital Innovation Blurring the Boundaries Through Digital Innovation
2016