Results 11 to 20 of about 443,564 (206)

Dynamic Recommendation of POI Sequence Responding to Historical Trajectory

ISPRS International Journal of Geo-Information, 2019
Point-of-Interest (POI) recommendation is attracting the increasing attention of researchers because of the rapid development of Location-based Social Networks (LBSNs) in recent years.
Jianfeng Huang, Yuefeng Liu, Yue Chen, Chen Jia   +3 more
doaj   +2 more sources

Personalized Geographical Influence Modeling for POI Recommendation [PDF]

IEEE Intelligent Systems, 2020
Point-of-interest (POI) recommendation has great significance in helping users find favorite places from a large number of candidate venues. One challenging in POI recommendation is to effectively exploit geographical information since users usually care about the physical distance to the recommended POIs.
Yanan Zhang, Guanfeng Liu 0001, An Liu 0002, Yifan Zhang, Zhixu Li, Xiangliang Zhang 0001, Qing Li 0001   +6 more
openaire   +3 more sources

Content-based POI Recommendation in Real-time Traffic Constraint [PDF]

Jisuanji gongcheng, 2017
Traditional Point of Interest(POI) recommendation method does not consider the user’s location and real-time traffic information.Though it can satisfy the user’s preference,it leads to a big increase in travel time.A recommended method of considering the
LEI Kai,LIU Shubo,LI Dan,LI Yongkai
doaj   +2 more sources

Adapting to User Interest Drift for POI Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2016
Point-of-Interest recommendation is an essential means to help people discover attractive locations, especially when people travel out of town or to unfamiliar regions. While a growing line of research has focused on modeling user geographical preferences for POI recommendation, they ignore the phenomenon of user interest drift across geographical ...
Hongzhi Yin, Xiaofang Zhou 0001, Bin Cui 0001, Hao Wang 0005, Kai Zheng 0001, Nguyen Quoc Viet Hung   +5 more
openaire   +5 more sources

Event-Based Probabilistic Embedding for POI Recommendation

Applied Sciences, 2023
Location-based social networks (LBSNs) have collected massive geo-tagged information, enabling the derivation of user preference for point of interests (POIs) in support of personalized recommendation. The existing embedding techniques deal with multiple
Tiancheng Zhang, Hengyu Liu, Xue Geng, Ge Yu   +3 more
doaj   +2 more sources

Multimodal Temporal Fusion for Next POI Recommendation

Algorithms
The objective of the next POI recommendation is using the historical check-in sequences of users to learn the preferences and habits of users, providing a list of POIs that users will be inclined to visit next. Then, there are some limitations in existing POI recommendation algorithms.
Fang Liu 0004, Jiangtao Li, Tianrui Li 0010   +2 more
openaire   +3 more sources

POI recommendation with queuing time and user interest awareness. [PDF]

Data Min Knowl Discov, 2022
Point-of-interest (POI) recommendation is a challenging problem due to different contextual information and a wide variety of human mobility patterns. Prior studies focus on recommendation that considers user travel spatiotemporal and sequential patterns
Halder S, Lim KH, Chan J, Zhang X.
europepmc   +2 more sources

Practical and privacy-preserving geo-social-based POI recommendation

Journal of Information and Intelligence
With the rapid development of location-based services and online social networks, POI recommendation services considering geographic and social factors have received extensive attention. Meanwhile, the vigorous development of cloud computing has prompted
Qi Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Le Gao   +4 more
doaj   +2 more sources

Personalized ranking metric embedding for next new POI recommendation [PDF]

, 2015
The rapidly growing of Location-based Social Networks (LBSNs) provides a vast amount of check-in data, which enables many services, e.g., point-of-interest (POI) recommendation. In this paper, we study the next new POI recommendation problem in which new
Feng, Shanshan, Zeng, Yifeng, Cong, Gao, Li, Xutao, Chee, Yeow Meng   +4 more
core   +11 more sources

Hormone therapy (HT) in women with premature ovarian insufficiency or early menopause: Time to think of a new paradigm for healthy aging. A joint FIGO and IMS position paper. [PDF]

Int J Gynaecol Obstet
Abstract Premature ovarian insufficiency (POI) and early menopause (EM) affect millions of women worldwide. Compared with normal menopause, they confer a longer duration of estrogen deficiency and are associated not only with a shorter lifespan, but with a reduced healthspan, owing to an increased risk of cardiovascular, skeletal, cognitive and ...
Benedetto C, Khadilkar SS, Nappi RE, Genazzani AR, Frezet F, Cucinella L, Divakar H, Anagnostis P, Panay N.   +8 more
europepmc   +2 more sources