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This paper highlights the number of contributing factors that make food decision making a difficult and time-consuming task. The survey carried out confirms the difficulties identified through literature and establishes that the use of digital menus is a preferred alternative to restaurant's customers. A digital menu comprising of sufficient information regarding items will be introduced, which will allow customers to make well-informed food decisions. Further, the deep learning technique, neural networks, will be implemented to build a food item recommendation engine that offers personalized recommendations that customers are likely to enjoy.
Gunawardena et al. (Fri,) studied this question.
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