Results 31 to 40 of about 1,752,389 (321)
Event Detection in Location-Based Social Networks [PDF]
, 2017 With the advent of social networks and the rise of mobile technologies, users have become ubiquitous sensors capable of monitoring various real-world events in a crowd-sourced manner. Location-based social networks have proven to be faster than traditional media channels in reporting and geo-locating breaking news, i.e.
Capdevila Pujol, Joan +2 more
openaire +4 more sources
ISPRS International Journal of Geo-Information, 2021 Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation.
Dongjin Yu +3 more
doaj +1 more source
Deep Collaborative Filtering Approaches for Context-Aware Venue Recommendation [PDF]
, 2016 In recent years, vast amounts of user-generated data have being created on Location-Based Social Networks (LBSNs) such as Yelp and Foursquare. Making effective personalised venue suggestions to users based on their preferences and surrounding context is ...
Eisuke Uchino (648395) +9 more
core +4 more sources
DeepCity: A Feature Learning Framework for Mining Location Check-ins [PDF]
, 2016 Online social networks being extended to geographical space has resulted in large amount of user check-in data. Understanding check-ins can help to build appealing applications, such as location recommendation.
Pang, Jun, Zhang, Yang
core +2 more sources
Location prediction in location-based social networks
Global Journal of Information Technology: Emerging Technologies, 2017 Developments in mobile devices and wireless networks have led to the increasing popularity of location-based socialnetworks. These networks allow users to explore new places , share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks.
Baydar, Mücahit, ALBAYRAK, Songül
openaire +3 more sources
IEEE Access, 2019 Cyber security significantly relies on the dynamic communities in social networks. The location-based social network (LBSN) is a new type of social system that has sprung up recently that.
Jiuxin Cao +6 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2023 The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users’ behavioral patterns and improve the accuracy of location-based services, point-of ...
Yan Zhou, Kaixuan Zhou, Shuaixian Chen
doaj +1 more source
Mining for Spatially-Near Communities in Geo-Located Social Networks
, 2013 Current approaches to community detection in social networks often ignore the spatial location of the nodes. In this paper, we look to extract spatially-near communities in a social network. We introduce a new metric to measure the quality of a community
Hannigan, Joseph +4 more
core +1 more source
Friendship prediction model based on factor graphs integrating geographical location
CAAI Transactions on Intelligence Technology, 2020 With the development of network services and location-based systems, many mobile applications begin to use users’ geographical location to provide better services. In terms of social networks, geographical location is actively shared by users.
Liang Chen +7 more
doaj +1 more source
Analysis of Home Location Estimation with Iteration on Twitter Following Relationship
, 2016 User's home locations are used by numerous social media applications, such as social media analysis. However, since the user's home location is not generally open to the public, many researchers have been attempting to develop a more accurate home ...
Hironaka, Shiori +2 more
core +1 more source