Recommending travel packages based on mobile crowdsourced data

Author

Zhiwen Yu ; Yun Feng ; Huang Xu ; Xingshe Zhou

Author_Institution

Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi´an, China

Volume

52

Issue

8

fYear

2014

fDate

Aug. 2014

Firstpage

56

Lastpage

62

Abstract

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 temporalspatial 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.

Keywords

mobile computing; recommender systems; social networking (online); travel industry; China; Jie Pang; LBSN; POI discovery; check-in records; location based social network services; location correlations; mobile crowdsourced data; points-of-interest discovery; starting location constraint; temporal-spatial constraints; travel package recommendation system; travel plans; travel time constraint; user preferences; Crowdsourcing; Mobile communication; Social network services; Travel industry;

fLanguage

English

Journal_Title

Communications Magazine, IEEE

Publisher

ieee

ISSN

0163-6804

Type

jour

DOI

10.1109/MCOM.2014.6871670

Filename

6871670