在线食品配方标题语义:结合营养事实和主题

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management Pub Date : 2016-10-24 DOI:10.1145/2983323.2983897

T. Kusmierczyk, K. Nørvåg

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引用次数: 17

摘要

饮食模式分析是一个重要的研究领域，最近以食物为中心的社交网络提供了丰富的资源，为该领域提供了新的机会。然而，人们对在线文本内容与实际健康因素(如营养价值)之间的关系知之甚少。为了弥补这种知识的缺乏，我们提出了一种新的方法，通过将文本主题与相关的营养事实相结合，来挖掘和建模在线食品内容。我们的实证分析表明，它们之间存在很强的相关性，我们的实验表明，从膳食名称中预测营养成分是可能的。

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Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics

Dietary pattern analysis is an important research area, and recently the availability of rich resources in food-focused social networks has enabled new opportunities in that field. However, there is a little understanding of how online textual content is related to actual health factors, e.g., nutritional values. To contribute to this lack of knowledge, we present a novel approach to mine and model online food content by combining text topics with related nutrient facts. Our empirical analysis reveals a strong correlation between them and our experiments show the extent to which it is possible to predict nutrient facts from meal name.

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Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

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