Food recommendation multi-round chatbot based on dietary-physical and mental need-model

Abstract

In recent years as the artificial intelligent become very popular the development of chatbot application has also become faster Nowadays many stores have there own chatbot on the social community but most of those chatbot can only handle some regular task taking the catering as example their chatbots can only asking the content of meals information of the restaurant or making reservation But with the Natural language processing skills chatbots that can truly understand human’s language and needs are what we look forward to In our work we hope we can build a diet recommendation system that can understand human’s needs when deciding what to eat or ordering food and then build a multi-round conversational chatbot by the system We define three type of user needs: Disease & Symptom emotion and Special need Our system will build multiple model and collect multiple resource to extract these user needs during the conversation with user In the end we will recommend a suitable food list to users according to the extracted physical mental and dietary needs

Date of Award	2020
Original language	English
Supervisor	Wen-Hsiang Lu (Supervisor)