Modeling Non-deterministic Human Behaviors in Discrete Food Choices

Autor:	Starnes, Andrew, Dereventsov, Anton, Blazek, E. Susanne, Phillips, Folasade
Rok vydání:	2022
Předmět:	FOS: Computer and information sciences Computer Science - Machine Learning Statistics - Machine Learning Machine Learning (stat.ML) Applications (stat.AP) Statistics - Applications Machine Learning (cs.LG)
Zdroj:	2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Popis:	We establish a non-deterministic model that predicts a user's food preferences from their demographic information. Our simulator is based on NHANES dataset and domain expert knowledge in the form of established behavioral studies. Our model can be used to generate an arbitrary amount of synthetic datapoints that are similar in distribution to the original dataset and align with behavioral science expectations. Such a simulator can be used in a variety of machine learning tasks and especially in applications requiring human behavior prediction. Comment: 6 pages, 4 figures, published in 2022 IEEE International Conference on Data Mining Workshops (ICDMW)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d7dc3c636abf7c76d1f7ce410b1ffa https://doi.org/10.1109/icdmw58026.2022.00131 Zobrazit plný text záznamu