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Author Yoo, Kyung-Hyan.

Title Persuasive recommender systems : conceptual background and implications / Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker.

Imprint New York, NY : Springer, ©2013.


Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering.
Contents Introduction -- Theoretical Background -- Source Factors -- Message Factors -- Receiver and Context Factors -- Discussion -- Implications for Recommender System Design -- Directions for Future Research.
Bibliography Includes bibliographical references.
Summary 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.
Access Online access available only to subscribers.
Language English.
Subject Recommender systems (Information filtering)
COMPUTERS -- Computer Literacy.
COMPUTERS -- Computer Science.
COMPUTERS -- Data Processing.
COMPUTERS -- Hardware -- General.
COMPUTERS -- Information Technology.
COMPUTERS -- Machine Theory.
COMPUTERS -- Reference.
Recommender systems (Information filtering) (OCoLC)fst01743365
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Indexed Term Computer science.
Data mining.
Artificial intelligence.
Genre/Form Electronic books.
Electronic books.
Added Author Gretzel, Ulrike.
Zanker, Markus.
ISBN 9781461447023 (electronic bk.)
146144702X (electronic bk.)
Standard No. 10.1007/978-1-4614-4702-3 doi
AU@ 000050183101
AU@ 000053294071
DEBBG BV041056458
DEBSZ 431201870
NLGGC 35693585X
NZ1 14690177
NZ1 15747137
AU@ 000060583661

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