Results 61 to 70 of about 228 (183)

Providing privacy preserving in next POI recommendation for Mobile edge computing

Journal of Cloud Computing: Advances, Systems and Applications, 2020
Point of interest (POI) recommendation can benefit users and merchants. It is a very important and popular service in modern life. In this paper, we aim to study the next new POI recommendation problem with the consideration of privacy preserving in edge
Li Kuang, Shenmei Tu, Yangqi Zhang, Xiaoxian Yang   +3 more
doaj   +1 more source

Antioxidants by nature: an ancient feature at the heart of flavonoids' multifunctionality

New Phytologist, Volume 245, Issue 1, Page 11-26, January 2025.
Giovanni Agati, Cecilia Brunetti, Luana Beatriz dos Santos Nascimento, Antonella Gori, Ermes Lo Piccolo, Massimiliano Tattini   +5 more
wiley   +1 more source

Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network

IEEE Access, 2019
With the rapid development of location-based social networks (LBSNs), point of interest (POI) recommendation has become more and more popular personalized service.
Kang Yang, Jinghua Zhu
doaj   +1 more source

Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network

Big Data and Cognitive Computing
Location-based social networks (LBSNs) leverage geo-location technologies to connect users with places, events, and other users nearby. Using GPS data, platforms like Foursquare enable users to check into locations, share their locations, and receive ...
Eman M. Bahgat, Alshaimaa Abo-alian, Sherine Rady, Tarek F. Gharib   +3 more
doaj   +1 more source

An Automatic User Grouping Model for a Group Recommender System in Location-Based Social Networks

ISPRS International Journal of Geo-Information, 2018
Spatial group recommendation refers to suggesting places to a given set of users. In a group recommender system, members of a group should have similar preferences in order to increase the level of satisfaction.
Elahe Khazaei, Abbas Alimohammadi
doaj   +1 more source

Modeling Weather-Aware Prediction of User Activities and Future Visits

IEEE Access, 2020
In recent years, Location-Based Social Networking (LBSN) sites such as Foursquare, Facebook Places, and Twitter have become extremely popular due to the extensive usage of location-enabled smart phone technologies.
Samia Nawshin, Md. Saddam Hossain Mukta, Mohammed Eunus Ali, A. K. M. Najmul Islam   +3 more
doaj   +1 more source

A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks

IEEE Access, 2019
In the environment of data explosion, how to make an effective and accurate personalized point of interest (POI) recommendation in location-based social networks (LBSNs) is a challenging and meaningful task.
Ren Yue-Qiang, Wang Ze, Sun Xiao-Na, Sun Shi-Min   +3 more
doaj   +1 more source

Friend and POI recommendation based on social trust cluster in location-based social networks

EURASIP Journal on Wireless Communications and Networking, 2019
Friend and point-of-interest (POI) recommendation are two primary individual services in location-based social networks (LBSNs). Major social platforms such as Foursquare and Instagram are all capable of recommending friends or POIs to individuals ...
Jinghua Zhu, Chao Wang, Xu Guo, Qian Ming, Jinbao Li, Yong Liu   +5 more
doaj   +1 more source

Exploring Geographic Information Effects for POI Recommendation in LBSNs

Journal of Physics: Conference Series, 2020
Abstract With the rapid development of global positioning technology, location-based social networks (LBSNs) have emerged. Massive check-in data provides development possibilities for mining user behavior preferences, and also brings a variety of location-based social services.
Shuang Liu, Wenguang Zheng, Yingyuan Xiao   +2 more
openaire   +1 more source

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   +1 more source