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Online Food Recommendations: A Complex Problem?
2019
ACM Conference on Recommender Systems
The problem of recommending food to people has recently become an active field of research. While there is growing body of work investigating how online food recommender systems could potentially be designed to better meet the users' preferences, to date less research has tried to understand the nature of online food choices and their complexity. How do people make their food choices online? To what extent can we model and predict this behavior, and can we actually change it through recommender
dblp:conf/recsys/Trattner19
fatcat:oq2n5rxgkvbzhmzjuzfntq3kfe