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- W2959892812 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." @default.
- W2959892812 created "2019-07-23" @default.
- W2959892812 creator A5046358028 @default.
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- W2959892812 date "2019-07-11" @default.
- W2959892812 modified "2023-10-17" @default.
- W2959892812 title "Nudge-Based Hybrid Intelligent System for Influencing Buying Decision" @default.
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- W2959892812 doi "https://doi.org/10.1007/978-981-13-8222-2_14" @default.
- W2959892812 hasPublicationYear "2019" @default.
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