BestDish: A Digital Menu and Food Item Recommendation System for Restaurants in the Hotel Sector
Dinushika Gunawardena, K.S.H. Sarathchandra
Abstract
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.
Topics & Concepts
Task (project management)Computer scienceRecommender systemWorld Wide WebEngineeringSystems engineeringConsumer Attitudes and Food LabelingConsumer Retail Behavior StudiesCulinary Culture and Tourism