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.
%0 Book
%1 YooGretzelZanker13
%A Yoo, Kyung-Hyan
%A Gretzel, Ulrike
%A Zanker, Markus
%B SpringerBriefs in Electrical and Computer Engineering
%C New York
%D 2013
%I Springer
%K 01614 103 springer book ai adaptive user requirements information management interaction interface assist search
%R 10.1007/978-1-4614-4702-3
%T Persuasive Recommender Systems: Conceptual Background and Implications
%X 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.
%@ 978-1-4614-4701-6
@book{YooGretzelZanker13,
abstract = {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.},
added-at = {2017-01-03T11:32:16.000+0100},
address = {New York},
author = {Yoo, Kyung-Hyan and Gretzel, Ulrike and Zanker, Markus},
biburl = {https://www.bibsonomy.org/bibtex/21b66e6540cb3400581caa5cfedd8b6ff/flint63},
doi = {10.1007/978-1-4614-4702-3},
file = {SpringerLink:2013/YooGretzelZanker13.pdf:PDF;Springer Product page:http\://www.springer.com/978-1-4614-4701-6:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/1461447011/:URL},
groups = {public},
interhash = {69a22ab2fd946ef74dbc4b62cea141c4},
intrahash = {1b66e6540cb3400581caa5cfedd8b6ff},
isbn = {978-1-4614-4701-6},
issn = {2191-8112},
keywords = {01614 103 springer book ai adaptive user requirements information management interaction interface assist search},
publisher = {Springer},
series = {SpringerBriefs in Electrical and Computer Engineering},
timestamp = {2018-04-16T12:35:41.000+0200},
title = {Persuasive Recommender Systems: Conceptual Background and Implications},
username = {flint63},
year = 2013
}