计算机与现代化

• 人工智能 •    下一篇

基于餐饮数据复杂网络的菜品拉动力分析

  

  1. (北京交通大学交通数据分析与挖掘北京市重点实验室,北京100044)
  • 收稿日期:2016-11-03 出版日期:2017-07-20 发布日期:2017-07-20
  • 作者简介:温振前(1987-),男,河北衡水人,北京交通大学交通数据分析与挖掘北京市重点实验室硕士研究生,研究方向:复杂网络,数据挖掘; 林友芳(1971-),男,教授,博士,研究方向:机器学习与认知计算,数据与知识工程; 武志昊(1984-),男,讲师,博士,研究方向:复杂网络,数据与知识工程。
  • 基金资助:
    国家自然科学基金资助项目(61403023); 教育部-中国移动科研基金资助项目(MCM20150513); 中国博士后科学基金资助项目(2015M580040)

Analysis on Driving Force of Dishes Based on Complex Data Network in Catering Field

  1. (Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China)
  • Received:2016-11-03 Online:2017-07-20 Published:2017-07-20

摘要: 在餐饮领域,菜品的拉动力可以定义为菜品因自身消费增长而拉动其他菜品整体消费增长的能力,然而目前并没有明确的方法计算菜品的拉动力。本文提出一种新颖的利用历史账单量化菜品拉动力的方法。首先提取数据中包含的菜品特征,分析菜品之间的作用关系来构建菜品复杂网络;然后基于复杂网络,利用传播模型,通过网络传播来计算菜品拉动力;最后在某餐饮企业真实历史账单数据集下验证了本文所提方法的有效性。

关键词: 菜品拉动力, 复杂网络, 网络传播

Abstract: In catering field, the driving force of dishes can be defined as the ability of dishes to stimulate the overall consumption growth of other dishes due to their own consumption growth. However, there is no clear method to calculate the driving force of dishes. This paper puts forward a novel method to quantify the driving force of dishes through historical bills. First, the paper extracts the characteristics of dishes contained in dataset. Secondly, the paper analyzes the relationship between the dishes to build dishes complex networks, and then based on the complex network, the paper calculates the driving force of dishes through the network spreading procedure with a propagation model. Finally, the paper validates the effectiveness of the proposed method in the real historical billing data set of a catering enterprise.

Key words:  driving force of dishes, complex network, network spread

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