NutritionChatbot – Chatbot for Food Preferences Modelling and Recipe Recommendation

Description:

The objective of this project is to explore speech as the means of interaction with a recipe recommender system by developing a system capable of automatically analysing speech to allow its users to perform a set of predetermined tasks: expressing food preferences and requesting parameterized recipe recommendations.

 

Outcome:

A system capable of automatically analysing speech as the means of interaction to allow users to express their food preferences and interacting with a recipe recommender system. The system will be able to understanding the semantical relation between concepts of the domain and modelling users’ food preferences accordingly.

 

Author: Álvaro Samagaio

Type: MSc thesis

Partner: FEUP – Faculdade de Engenharia da Universidade do Porto

Year: 2020