article

Persuasion in Recommender Systems

Authors:

Ulrike Gretzel,

Daniel FesenmaierAuthors Info & Claims

International Journal of Electronic Commerce, Volume 11, Issue 2

Pages 81 - 100

https://doi.org/10.2753/JEC1086-4415110204

Published: 01 December 2006 Publication History

Abstract

Recommender systems persuade as well as recommend. This study investigated some factors that influence the perceived fit of the recommendations a system provides and user perceptions of the preference-elicitation process. The findings indicate that the relevance, transparency, duration, and required effort of the elicitation process are important cues for value, which in turn influences the user's enjoyment of the process and the perceived fit of the recommendation with the user's preferences.

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cover image International Journal of Electronic Commerce

International Journal of Electronic Commerce Volume 11, Issue 2

Number 2 / Winter 2006-7

151 pages

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M. E. Sharpe, Inc.

United States

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Published: 01 December 2006

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https://dl.acm.org/doi/10.1145/3631700.3664922
Yu GTang WNarayanan SHo COh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Encoding human behavior in information design through deep learningProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3666452(7506-7528)Online publication date: 10-Dec-2023
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