Abstract
The novel idea of nudging has become increasingly popular in academics and business practices, and nudge incorporates the process of positive reinforcement and indirect suggestions as ways to influence the behaviour and decision-making of an individual or a group. In this paper, we propose a conceptual hybrid intelligent system which leverages both case-based reasoning (CBR) and expert system (ES) for product recommendations. The proposed concept will not only efficiently filter the best product, i.e. smartphone, for the consumer but will also take care of the latent factors involved in generating recommendation by its powerful double layered filtering technique.
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Gupta, V., Sahana, S.K. (2020). Nudge-Based Hybrid Intelligent System for Influencing Buying Decision. In: Sahana, S., Bhattacharjee, V. (eds) Advances in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 988. Springer, Singapore. https://doi.org/10.1007/978-981-13-8222-2_14
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DOI: https://doi.org/10.1007/978-981-13-8222-2_14
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