Abstract
A recommendation system finds the most suitable item for customers. However, the most suitable item is sometimes refused. The most significant reason for this failure of recommendation is that we do not want what is good for us. Therefore, to make the recommendation for acceptance, persuasion should be provided. In this paper, a method of curating information for persuasion is proposed. Cognitive bias are used to determine the layout of information for customers to accept recommendations. With the proposed method, options which are beneficial but not preferable are provided without offending the customers.
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Acknowledgments
This work was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8601-16-1009) supervised by the IITP (Institute for Information & communications Technology Promotion) and was also supported by the Bio & Medical Technology Development Program of the NRF funded by the Korean government, MSIP (NRF-2015M3A9D7067219).
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Lee, K., Nam, Y. (2017). Persuading Recommendations Using Customized Content Curation. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_28
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DOI: https://doi.org/10.1007/978-981-10-5041-1_28
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