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Putting Food in Context : = Embedding-Based Food Recommendations.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Putting Food in Context :/
其他題名:	Embedding-Based Food Recommendations.
作者:	Sozuer Zorlu, Sibel.
面頁冊數:	1 online resource (109 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-10, Section: B.
Contained By:	Dissertations Abstracts International84-10B.
標題:	Food science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30418482click for full text (PQDT)
ISBN:	9798379424473

Putting Food in Context : = Embedding-Based Food Recommendations.
Sozuer Zorlu, Sibel.

Putting Food in Context :Embedding-Based Food Recommendations. - 1 online resource (109 pages)

Source: Dissertations Abstracts International, Volume: 84-10, Section: B.

Thesis (Ph.D.)--Columbia University, 2023.

Includes bibliographical references

Food is an integral part of everyday life, and food choices directly affect one's health. Both academics and practitioners have attempted to help consumers make good decisions about their food choices and recommended better or healthier alternatives. However, in thinking about food it is important to put it in context, as each food item is often combined with other food items to create the gestalt of a recipe or meal. Understanding the complex interaction between food items that are used or consumed together is crucial to provide effective recommendations. In this research, I leverage tools from machine learning and textual analysis like the embedding approach for representation learning to understand food in its context and to build recommender systems that account for the complementarity or fit of co-consumed food items. I show that this consideration of fit among food items can lead to better and healthier food recommendations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379424473Subjects--Topical Terms:

3173303
Food science.
Subjects--Index Terms:

Consumer healthIndex Terms--Genre/Form:

542853
Electronic books.

Putting Food in Context : = Embedding-Based Food Recommendations.
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