Characterizing and predicting repeat food consumption behavior for just-in-time interventions

• Main Authors: LIU, Yue, LEE, Helena Huey Chong, ACHANANUPARP, Palakorn, LIM, Ee-peng, CHENG, Tzu-Ling, LIN, Shou-De
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Food Recommendation; Implicit Feedback; Repeat Consumption; Databases and Information Systems; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/4613; https://ink.library.smu.edu.sg/context/sis_research/article/5616/viewcontent/Predict_Repeat_Food_Consumption_av.pdf
• Institution: Singapore Management University

Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming different types of items when the consumptions become overly monotonous. However, the novel and repeat consumption behaviors...