Recommending Travel Packages Based on Mobile Crowdsourced Data

被引：31
|
作者：
Yu, Zhiwen [1 ,2 ]
Feng, Yun [1 ]
Xu, Huang [1 ]
Zhou, Xingshe [2 ]
机构：
[1] Northwestern Polytech Univ, Xian, Peoples R China
[2] Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China
来源：
IEEE COMMUNICATIONS MAGAZINE | 2014年 / 52卷 / 08期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/MCOM.2014.6871670
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Mobile crowdsoured data from location-based social network services (LBSNs) provide information on individual's preferences for locations. In this article, we propose a travel package recommendation system to help users make travel plans by leveraging mobile crowdsourced data. We extract user preferences, discover points of interest (POIs), and determine location correlations from check-in records. We then generate personalized travel packages by considering user preferences, POI characteristics, and temporal-spatial constraints such as travel time and starting location. A prototype system is built and evaluated on real-world crowdsourced data from Jie Pang, one of the most popular LBSNs in China.
引用
收藏
页码：56 / 62
页数：7
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