Persuasive recommender systems: conceptual background and implications

Authors

Kyung-Hyan Yoo, William Paterson University
Ulrike Gretzel, University of WollongongFollow
Markus Zanker, Alpen-Adria-Universität Klagenfurt

RIS ID

76361

Publication Details

Yoo, K., Gretzel, U. & Zanker, M. (2012). Persuasive recommender systems: conceptual background and implications. New York: Springer.

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.