Persuasive Recommender Systems - Conceptual Background and Implications (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	August 2012
First published:	2013
Authors:	Kyung-Hyan Yoo • Ulrike Gretzel • Markus Zanker
Dimensions:	235 x 155 x 3mm (L x W x T)
Format:	Paperback
Pages:	59
Edition:	2013 ed.
ISBN-13:	978-1-4614-4701-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4614-4701-1
Barcode:	9781461447016

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