FoodDataQuest publication: New Study Method for Understanding Consumer Behaviour Through Shared Purchase Data
FoodDataQuest partner Tampere University, as part of UC4, has published a new study in Springer Nature titled “Uncovering food purchase behaviors and their shifts using Hidden Markov Modeling.” The study introduces a novel method for nutrition research by using Hidden Markov Models (HMMs) to analyze large, longitudinal food purchase datasets and track changes in food purchase behaviour over time, while also providing a practical methodological toolkit for […]