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Other titles in the Springerbriefs in Electrical and Computer Engineering series:

Persuasive Recommender Systems: Conceptual Background and Implications (Springerbriefs in Electrical and Computer Engineering)

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Persuasive Recommender Systems: Conceptual Background and Implications (Springerbriefs in Electrical and Computer Engineering) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Table of Contents

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

Product Details

ISBN:
9781461447016
Author:
Yoo, Kyung-hyan
Publisher:
Springer
Author:
Yoo, Kyung-Hyan
Author:
Zanker, Markus
Author:
Gretzel, Ulrike
Subject:
Artificial Intelligence
Subject:
Advice seeking
Subject:
Communication factors
Subject:
Computers as Social Actors
Subject:
Conversational recommender systems
Subject:
Human-computer interaction
Subject:
persuasive technology
Subject:
recommender systems
Subject:
System design
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Data Mining and Knowledge Discovery
Subject:
Computers-Reference - General
Copyright:
Edition Description:
2012
Series:
SpringerBriefs in Electrical and Computer Engineering
Publication Date:
20120802
Binding:
TRADE PAPER
Language:
English
Pages:
65
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General

Persuasive Recommender Systems: Conceptual Background and Implications (Springerbriefs in Electrical and Computer Engineering) New Trade Paper
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