Extracting Food Substitutes From Food Diary via Distributional Similarity
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 food...
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Main Authors: | , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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Online Access: | https://ink.library.smu.edu.sg/sis_research/3457 https://ink.library.smu.edu.sg/context/sis_research/article/4458/viewcontent/171___Extracting_Food_Substitutes_From_Food_Diary_via_Distributional_Similarity__RecSys_2016_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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