Results 71 to 80 of about 232 (178)

The Application of Lite-GRU Embedding and VAE-Augmented Heterogeneous Graph Attention Network in Friend Link Prediction for LBSNs

Applied Sciences
Friend link prediction is an important issue in recommendation systems and social network analysis. In Location-Based Social Networks (LBSNs), predicting potential friend relationships faces significant challenges due to the diversity of user behaviors ...
Ziteng Yang, Boyu Li, Yong Wang, Aoxue Liu   +3 more
doaj   +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

Locative Media and Sociability: Using Location-Based Social Networks to Coordinate Everyday Life

Architecture_MPS, 2018
Foursquare was a mobile social networking application that enabled people to share location with friends in the form of “check-ins.” The visualization of surrounding known social connections as well as unknown others has the potential to impact how ...
doaj   +2 more sources

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

Meta-path interaction and decomposition for heterogeneous information networks-based POI recommendation

Journal of King Saud University: Computer and Information Sciences
With the rapid development of mobile Internet and location-based services, personalized points of interest (POIs) recommendation has become one of the core tasks in location-based social networks.
Shunshun Jiang, Shenghua Xu, Yong Wang, Zhuolu Wang, Junchen Li, Menghe Ma, Yuhang Wang, Huazu Zhang   +7 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

Contrasting social and non-social sources of predictability in human mobility. [PDF]

Nat Commun, 2022
Chen Z, Kelty S, Evsukoff AG, Welles BF, Bagrow J, Menezes R, Ghoshal G.   +6 more
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

Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times

ISPRS International Journal of Geo-Information
Extensive scientific evidence underscores the importance of identifying spatiotemporal patterns for investigating urban dynamics. The recent proliferation of location-based social networks (LBSNs) facilitates the measurement of urban rhythms through ...
Mikel Barrena-Herrán, Itziar Modrego-Monforte, Olatz Grijalba   +2 more
doaj   +1 more source