Results 61 to 70 of about 200 (160)

Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation

IEEE Access, 2019
Point of interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help to suggest new locations and makes LBSNs more prevalent to users. Successive POI recommendation is a nature extension of the general POI
Yan Wen, Jiansong Zhang, Qingtian Zeng, Xin Chen, Feng Zhang   +4 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

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation

IEEE Access, 2019
Point-of-Interest (POI) recommendation is one of the important services of location-based social networks (LBSNs), which has become an important way to help users discover interesting places and increase the potential income of related companies ...
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu   +5 more
doaj   +1 more source

Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network. [PDF]

Bioengineering (Basel), 2023
Kasgari AB, Safavi S, Nouri M, Hou J, Sarshar NT, Ranjbarzadeh R.   +5 more
europepmc   +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

Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation. [PDF]

Sensors (Basel), 2023
An J, Jiang W, Li G.
europepmc   +1 more source

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

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

Long-Term Preference Mining With Temporal and Spatial Fusion for Point-of-Interest Recommendation

IEEE Access
The growth of the tourism industry has greatly boosted the Point-of-Interest (POI) recom- mendation tasks using Location-based Social Networks (LBSNs). The ever-evolving nature of user preferences poses a major problem. To address this, we propose a Long-
Malika Acharya, Krishna Kumar Mohbey, Dharmendra Singh Rajput   +2 more
doaj   +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