Analyzing dynamical activities of co-occurrence patterns for cooking ingredients
Analyzing dynamical activities of co-occurrence patterns for cooking ingredients
复制标题
分析烹饪原料共现模式的动态活动
DOI：
10.1109/icdmw.2017.10
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
and Masahiro Kimura
中科院分区：
文献类型：
--
作者：
Yuuki Kikuchi;Masahito Kumano;and Masahiro Kimura
由于烹饪食谱分享网站的日益普及和复杂网络科学的成功，最近人们开始关注开发一种有效的基于网络的方法来分析食谱中使用的成分组合的特征。与以往处理静态特性的方法不同，我们旨在分析配方中共同使用的成分对的动态变化，并提出一种有效的提取成分共现活性变化模式的方法。基于提取的变化模式，在每个时间步建立成分间的活动网络，并识别活动共现模式。此外，我们还提供了一种从食谱角度解释活动共现模式的方法，并提出了一个可视化分析其动态变化的框架。利用日本菜谱共享网站的真实数据，定量验证了该方法提取配料对活性变化模式的有效性，并应用该方法揭示了日本菜谱中共同使用的配料对的季节变化特征。
Due to the increasing popularity of cooking-recipe sharing sites and the success of complex network science, attention has recently been devoted to developing an effective network-based method of analyzing the characteristics of ingredient combinations used in recipes. Unlike previous approaches dealing with static properties, we aim at analyzing the dynamical changes in ingredient pairs jointly used in recipes, and propose an efficient method of extracting the change patterns for co-occurrence activities of ingredients. Based on the extracted change patterns, we build an active network among ingredients at every timestep, and identify active co-occurrence patterns. Moreover, we provide a method of interpreting active co-occurrence patterns in terms of recipes, and present a framework for visually analyzing their dynamical changes. Using real data from a Japanese recipe sharing site, we quantitatively demonstrate the effectiveness of the proposed method for extracting the activity change patterns for ingredient pairs, and uncover the characteristics of the seasonal changes in ingredient pairs jointly used in Japanese recipes by applying the proposed method.