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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Bibliographic Details
Main Authors: ACHANANUPARP, Palakorn, WEBER, Ingmar
Format: text
Language:English
Published: 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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