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 +5 more
wiley +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 +3 more
doaj +1 more source
Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network
Big Data and Cognitive ComputingLocation-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 +3 more
doaj +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
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
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 +5 more
doaj +1 more source
Personalized Recommendation of Tourist Attractions based on LBSN
DEStech Transactions on Computer Science and Engineering, 2018 Photos metadata in Location-Based Social Networks (LBSN) contain rich time and space information, these metadata provide the basis for the research of personalized recommendation of tourist attractions. The existing methods have many problems such as low accuracy of recommendation and single type of attractions recommendation.
Huifang Lv +4 more
openaire +2 more sources
Implications of a Twitter data-centred methodology for assessing commuters' perceptions of the Delhi metro in India. [PDF]
Comput Urban Sci, 2022 Agrawal A, Kuriakose PN.
europepmc +1 more source
Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network. [PDF]
Bioengineering (Basel), 2023 Kasgari AB +5 more
europepmc +1 more source
Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation. [PDF]
Sensors (Basel), 2023 An J, Jiang W, Li G.
europepmc +1 more source