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

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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.

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Product 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.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

SpringerBriefs in Electrical and Computer Engineering

Release date

August 2012

Availability

Expected to ship within 10 - 15 working days

First published

2013

Authors

, ,

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

Barcode

9781461447016

Categories

LSN

1-4614-4701-1



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