Title :
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
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;
Journal_Title :
Communications Magazine, IEEE
DOI :
10.1109/MCOM.2014.6871670
