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The effect of context-aware recommendations on customer purchasing behavior and trust

Published:23 October 2011Publication History

ABSTRACT

Despite the growing popularity of Context-Aware Recommender Systems (CARSs), only limited work has been done on how contextual recommendations affect the behavior of customers in real-life settings. In this paper, we study the effects of contextual recommendations on the purchasing behavior of customers and their trust in the provided recommendations. In particular, we did live controlled experiments with real customers of a major commercial Italian retailer in which we compared the customers' purchasing behavior and measured their trust in the provided recommendations across the contextual, content-based and random recommendations. As a part of this study, we have investigated the role of accuracy and diversity of recommendations on customers' behavior and their trust in the provided recommendations for the three types of RSes. We have demonstrated that the context-aware RS outperformed the other two RSes in terms of accuracy, trust and other economics-based performance metrics across most of our experimental settings.

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        cover image ACM Conferences
        RecSys '11: Proceedings of the fifth ACM conference on Recommender systems
        October 2011
        414 pages
        ISBN:9781450306836
        DOI:10.1145/2043932

        Copyright © 2011 ACM

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        Publication History

        • Published: 23 October 2011

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