Results 71 to 80 of about 200 (160)

A HieArarchical LSTM Framework for Capturing Long- and Short-Term Preferences in POI Recommendation

ITEGAM-JETIA
Point-of-Interest (POI) recommendation is crucial for improving user experience in location-based social networks (LBSNs). With the growing number of users checking in at various places personalized recommendations are necessary to provide relevant ...
Sarala Patchala, Vijay Babu Burra, Vullam Naga Gopi Raju, Banda SNV Ramana Murthy, Desamala Prabhakara Rao   +4 more
doaj   +1 more source

A graph neural network framework based on preference-aware graph diffusion for recommendation. [PDF]

Front Psychiatry, 2022
Shu T, Shi L, Zhu C, Liu X.
europepmc   +1 more source

A human mobility dataset collected via LBSLab. [PDF]

Data Brief, 2023
Zhang Y, Gong Q, Chen Y, Xiao Y, Wang X, Hui P, Fu X.   +6 more
europepmc   +1 more source

Language-Guided Spatio-Temporal Context Learning for Next POI Recommendation

ISPRS International Journal of Geo-Information
With the proliferation of mobile internet and location-based services, location-based social networks (LBSNs) have accumulated extensive user check-in data, driving the advancement of next Point-of-Interest (POI) recommendation systems. Although existing
Chunyang Liu, Chuxiao Fu
doaj   +1 more source

Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks. [PDF]

Sensors (Basel), 2021
Ali K, Li CT, Chen YS.
europepmc   +1 more source

Context-Aware Knowledge Graph Learning for Point-of-Interest Recommendation

ISPRS International Journal of Geo-Information
Existing point-of-interest (POI) recommendation methods often fail to capture complex contextual dependencies and suffer from severe data sparsity in location-based social networks (LBSNs).
Yan Zhou, Di Zhang, Kaixuan Zhou, Pengcheng Han   +3 more
doaj   +1 more source

Vehicle Trajectory Prediction via Urban Network Modeling. [PDF]

Sensors (Basel), 2023
Qin X, Li Z, Zhang K, Mao F, Jin X.
europepmc   +1 more source

Preference-Matched Multitask Assignment for Group Socialization under Mobile Crowdsensing. [PDF]

Sensors (Basel), 2023
Zhang M, Chen S, Wei Z, Wu Y.
europepmc   +1 more source

A Hypergraph Structure-Based Aggregation Network for Next POI Recommendation

IEEE Access
The next Point-of-Interest (POI) recommendation can effectively help users find places they are interested in, which is one of the important applications of location-based social networks (LBSNs).
Zhen Zhang, Jun Chen, Xiangguo Zhao, Yaqi Gong, Jianyu Ren, Jintao Ouyang   +5 more
doaj   +1 more source

Pedestrian Flow Prediction and Route Recommendation with Business Events. [PDF]

Sensors (Basel), 2022
Gu J, Song C, Ren Z, Lu L, Jiang W, Liu M.   +5 more
europepmc   +1 more source