Automatic Cooking Recipe Difficulty Level Inference using Natural Language Processing Techniques

• Larissa Britto Universidade Federal Rural de Pernambuco
• Luciano Pacífico Universidade Federal Rural de Pernambuco
• Teresa Ludermir Universidade Federal de Pernambuco

DOI: https://doi.org/10.5753/eniac.2020.12121

Abstract

In this work, a tool for inferring the degree of difficulty of cooking recipes will be proposed. The inference will be made by the textual classification of the recipe preparation methods. The tool will be a fundamental piece to the development of a context-aware knowledge-based cooking recipe recommendation system. Some of the main classifiers in Text Classification literature will be adopted, in addition to different feature extraction methods. An experimental evaluation is performed, in order to select the best approaches to compose the system.

Keywords: Cooking Recipe Difficulty Level, Natural Language Processing, Machine Learning

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