Using multi-features to partition users for friends recommendation in location based social network

M Xin, L Wu - Information Processing & Management, 2020 - Elsevier
Friend recommendation is an important feature of social network applications to help people
make new friends and expand their social circles. However, the user-location and user-user …

Modified node2vec and attention based fusion framework for next POI recommendation

A Kumar, DK Jain, A Mallik, S Kumar - Information Fusion, 2024 - Elsevier
The rise of location-based services has led to the widespread adoption of location-based
social networks (LBSNs), which play a vital role in making recommendations for the next …

Maximal fusion of facts on the web with credibility guarantee

TT Nguyen, TC Phan, QVH Nguyen, K Aberer… - Information …, 2019 - Elsevier
The Web became the central medium for valuable sources of information fusion
applications. However, such user-generated resources are often plagued by inaccuracies …

Incorporating memory-based preferences and point-of-interest stickiness into recommendations in location-based social networks

H Zhang, M Gan, X Sun - ISPRS international journal of geo-information, 2021 - mdpi.com
In location-based social networks (LBSNs), point-of-interest (POI) recommendations
facilitate access to information for people by recommending attractive locations they have …

Effective fingerprint extraction and positioning method based on crowdsourcing

N Yu, S Zhao, X Ma, Y Wu, R Feng - Ieee Access, 2019 - ieeexplore.ieee.org
At present, WiFi fingerprinting indoor positioning technology is a research hotspot, and the
construction of a radio map based on crowdsourcing can significantly reduce the amount of …

Developing a microscopic city model in SUMO simulation system

ER Maiorov, IR Ludan, JD Motta… - Journal of Physics …, 2019 - iopscience.iop.org
Modern high rates of urbanization affect the economic and social processes in cities around
the world. One of the main problems in cities is the weakness of transport systems. To solve …

A user profile awareness service collaborative recommendation algorithm under lbsn environment

M Xin, L Wu, S Li - International Journal of Cooperative Information …, 2019 - World Scientific
Nowadays, location-based social network (LBSN) has become one of the most popular
applications with the rapid development of mobile Internet. However, due to the spatial and …

Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph

M Taheri, M Farnaghi, A Alimohammadi… - Journal of Spatial …, 2023 - Taylor & Francis
Previous studies neglected the impact of shared spatio-temporal interests in the Point of
Interest (POI) recommendation. The proposed GHTG-ERWR method simultaneously models …

[PDF][PDF] Point-of-interest based classification of similar users by using support vector machine and status homophily

KM Kumar, B Srinivasan - International Journal of Machine Learning and …, 2019 - ijmlc.org
Online social networks (OSN) are becoming an indispensable part of everyday life. Apart
from allowing various users to perform a vast amount of conventional sharing per second …

[PDF][PDF] Integrated approach to building a microscopic city model

I Ludan, E Maiorov, JDM Santana… - Proceedings of the 5th …, 2018 - ceur-ws.org
Due to the rapidly growing number of urban residents, a number of changes take place that
affect the socio-economic processes of the city and the state generally. To solve the …