用户营养建模和建议:平衡简单和复杂

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI:10.1145/3099023.3099108

Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, F. Ricci, A. Said

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引用次数: 14

摘要

为了在食品推荐系统中使用和建模营养知识，需要对用户营养状态的不确定性以及食品的个人健康价值以及相互冲突的营养理论进行量化、定性并纳入可证伪的模型。在本文中，我们反映了关于营养的不同误差来源，并考虑如何在未来的系统中解决这些问题。我们讨论了将一般营养理论整合到信息系统中，以及用户特定的营养措施和评估给定营养模型效用的不同方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity

In order to use and model nutritional knowledge in a food recommender system, uncertainties regarding the users nutritional state and thus the personal health value of food items, as well as conflicting nutritional theories need to be quantified, qualified and subsumed into falsifiable models. In this paper, we reflect on different error sources with respect to nutrition and consider how such issues can be tackled in future systems. We discuss the integration of general nutritional theories into information systems as well as user specific nutritional measures and different approaches to evaluating the utility of a given nutritional model.

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Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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