TY - GEN
T1 - A Geographical Behavior-Based Point-of-Interest Recommendation
AU - Yu, Xiaoyun
AU - Li, Xin
AU - Li, Jidong
AU - Gai, Keke
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - With the development of mobile devices, point-of-interest (POI) recommendation has received increasing attention. However, achieving accurate personalized POI recommendation is challenging due to the sparsity of the available data per user. In addition, previous efforts based on collaborative filtering mainly treat user behavior as a whole part in computing user similarity which sometimes cannot yield inferior performance. In this paper, we propose a novel two-phase algorithm to boost personalized POI recommendation performance by incorporating three unique characteristics in Location-Based Social Networks (LBSNs), namely, activity-based periodic behavior, time-aware multi-centers geographical behavior, and spatiooral relation. Experiments show that our proposed approach can further improve the recommendation accuracy and efficiency compared to previous works.
AB - With the development of mobile devices, point-of-interest (POI) recommendation has received increasing attention. However, achieving accurate personalized POI recommendation is challenging due to the sparsity of the available data per user. In addition, previous efforts based on collaborative filtering mainly treat user behavior as a whole part in computing user similarity which sometimes cannot yield inferior performance. In this paper, we propose a novel two-phase algorithm to boost personalized POI recommendation performance by incorporating three unique characteristics in Location-Based Social Networks (LBSNs), namely, activity-based periodic behavior, time-aware multi-centers geographical behavior, and spatiooral relation. Experiments show that our proposed approach can further improve the recommendation accuracy and efficiency compared to previous works.
KW - Geographical behavior
KW - LBSN
KW - POI recommendation
UR - http://www.scopus.com/inward/record.url?scp=85072764014&partnerID=8YFLogxK
U2 - 10.1109/BigDataSecurity-HPSC-IDS.2019.00039
DO - 10.1109/BigDataSecurity-HPSC-IDS.2019.00039
M3 - Conference contribution
AN - SCOPUS:85072764014
T3 - Proceedings - 5th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2019, 5th IEEE International Conference on High Performance and Smart Computing, HPSC 2019 and 4th IEEE International Conference on Intelligent Data and Security, IDS 2019
SP - 166
EP - 171
BT - Proceedings - 5th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2019, 5th IEEE International Conference on High Performance and Smart Computing, HPSC 2019 and 4th IEEE International Conference on Intelligent Data and Security, IDS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Big Data Security on Cloud, 5th IEEE International Conference on High Performance and Smart Computing and 4th IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2019
Y2 - 27 May 2019 through 29 May 2019
ER -