[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 …

Using check-in features to partition locations for individual users in location based social network

C Yu, B Xiao, D Yao, X Ding, H Jin - Information Fusion, 2017 - Elsevier
With location-based social network (LBSN) flourishing, location check-in records offer us
sufficient information resource to do relative mining. Among locations visited by a user, those …

Identifying influential users using homophily-based approach in location-based social networks

ZS Akhavan-Hejazi, M Esmaeili… - The Journal of …, 2024 - Springer
Today, with the expansion of online social networks and their impact on various aspects of
human life, investigating the interactions between users and identifying influential users for …

Using multi-features to recommend friends on location-based social networks

G Xu-Rui, W Li, W Wei-Li - Peer-to-Peer Networking and Applications, 2017 - Springer
Location-based social networks (LBSNs) not only offer novel services but also produce more
abundant data to help new serves for human. It will help discover latent trajectory, possible …

Discovering point-of-interest signatures based on group features from geo-social networking data

LY Wei, MY Yeh, G Lin, YH Chan… - 2013 Conference on …, 2013 - ieeexplore.ieee.org
In recent years, location-based social networking services (LBSNSs) have become popular,
generating a huge volume of geo-social networking data, such as check-in records and geo …

A new point-of-interest classification model with an extreme learning machine

Z Zhang, X Zhao, G Wang, X Bi - Cognitive Computation, 2018 - Springer
With the increasing popularity of location-based social networks (LBSNs), an increasing
number of people are sharing their locations with friends through check-in activities. Point-of …

We know where you are: Home location identification in location-based social networks

Y Gu, Y Yao, W Liu, J Song - 2016 25th International …, 2016 - ieeexplore.ieee.org
The rapid spread of smartphones has led to the increasing popularity of Location-Based
Social Networks (LBSNs) like Foursquare, Gowalla, Facebook Places and so on where …

Mining user check-in features for location classification in location-based social networks

C Yu, Y Liu, D Yao, H Jin, F Lu… - 2015 IEEE Symposium …, 2015 - ieeexplore.ieee.org
With the increasing popularity of location-based social networks, a large number of users
have been involved in the check-ins. The venues where the user frequently repeats check …

LIDU: Location-based approach to IDentify similar interests between Users in social networks

R Braga - 2012 - theses.fr
Over the last three years of my graduate school time at Grenoble Informatics Laboratory, I
have learned wonderful things, not only about science, but also about the life. I must say that …

SNS user classification and its application to obscure POI discovery

C Zhuang, Q Ma, M Yoshikawa - Multimedia Tools and Applications, 2017 - Springer
Technologies are increasingly taking advantage of the explosion of social media (eg, web
searches, ad targeting, personalized geo-social recommendations, urban computing) …