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- W4295836009 abstract "In this paper, we explore the problem of identifying substitute relationship between food pairs from real-world food consumption data as the first step towards the healthier food recommendation. Our method is inspired by the distributional hypothesis in linguistics. Specifically, we assume that foods that are consumed in similar contexts are more likely to be similar dietarily. For example, a turkey sandwich can be considered a suitable substitute for a chicken sandwich if both tend to be consumed with french fries and salad. To evaluate our method, we constructed a real-world food consumption dataset from MyFitnessPal's public food diary entries and obtained ground-truth human judgements of food substitutes from a crowdsourcing service. The experiment results suggest the effectiveness of the method in identifying suitable substitutes." @default.
- W4295836009 created "2022-09-15" @default.
- W4295836009 creator A5033513969 @default.
- W4295836009 creator A5033656008 @default.
- W4295836009 date "2016-07-29" @default.
- W4295836009 modified "2023-10-16" @default.
- W4295836009 title "Extracting Food Substitutes From Food Diary via Distributional Similarity" @default.
- W4295836009 doi "https://doi.org/10.48550/arxiv.1607.08807" @default.
- W4295836009 hasPublicationYear "2016" @default.
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