人工智能营养推荐系统的研究进展

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2019-06-05 DOI:10.1145/3316782.3322760

T. Theodoridis, V. Solachidis, K. Dimitropoulos, L. Gymnopoulos, P. Daras

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引用次数: 24

摘要

这项工作的目标是提供关于人工智能营养推荐系统的现有方法的概述。提出了将这种系统分解为具体任务的组成部分，以及与每个单独组成部分有关的方法。介绍了理想的人工智能营养推荐系统的组成部分，并将其与相应研究领域的最新方法进行了比较。最后还讨论了其中一些领域中确定的问题。

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A survey on AI nutrition recommender systems

The goal of this work is to provide an overview of existing approaches regarding AI nutrition recommender systems. A breakdown of such systems into task-specific components is presented, as well as methodologies concerned with each individual component. The components of an idealized AI nutrition recommender system are presented and compared to state-of-the-art approaches in the corresponding area of research. Finally identified issues in some of these areas are also discussed.

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Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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