旅客群体中的家庭结构发现
FamiIy Structures Detection in Passenger Groups
王志伟1
作者信息
- 1. 北京交通大学计算机与信息技术学院，交通数据分析与挖掘北京市重点实验室，北京 100044
- 折叠
摘要
家庭作为一种最常见的出行消费单元，在客运领域拥有相当规模的市场。精准地识别家庭结构，有利于客运企业为旅客提供个性化的出行服务和产品推荐。研究旅客群体中发现家庭结构的问题，提出一种基于关系分类的类型化社区发现方法来确定旅客社会网络中的家庭结构。在客运领域的一个真实的数据集上进行实验，证明该方法可以有效地从旅客历史出行记录中发现旅客家庭结构。
Abstract
The families, as a kind of the most common consumer units, have a considerable scale in the field of passenger transportation market. Ac-curately identifying family structures can help the carriers provide passengers with personalized travel services and product recommenda-tion. Studies the issue of finding family structures in passenger groups and proposes a kind of typed community discovery method based on relationship classification to determine family structures in passenger social networks. Experimental results on a real data set of passen-ger travel records in the field of passenger transport demonstrate that the method can effectively find family structures from historical trav-el records.
关键词
旅客社会网络/家庭结构/关系分类/社区发现Key words
Passenger Social Networks/Family Structures/Relationship Classification/Community Detection引用本文复制引用
出版年
2015
NETL
NSTL
维普
万方数据