TY - JOUR
T1 - Recommending travel packages based on mobile crowdsourced data
AU - Yu, Zhiwen
AU - Feng, Yun
AU - Xu, Huang
AU - Zhou, Xingshe
PY - 2014/8
Y1 - 2014/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84906095271&partnerID=8YFLogxK
U2 - 10.1109/MCOM.2014.6871670
DO - 10.1109/MCOM.2014.6871670
M3 - 文章
AN - SCOPUS:84906095271
SN - 0163-6804
VL - 52
SP - 56
EP - 62
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 8
M1 - 6871670
ER -