Results 31 to 40 of about 35,508,392 (286)

Toward local family relationship discovery in location-based social network

open access: yes, 2017
The local family relationship discovery problem in location-based social network (LBSN) services is to identify whether two local residents in a city belong to the same family or not by using their check-in traces on LBSNs.
Brian Mann   +7 more
core   +1 more source

Spatio-temporal aware privacy-preserving scheme in LBS

open access: yesTongxin xuebao, 2018
Location-based service (LBS) brings a lot of conveniences in people’s daily life,but the conveniences are accompanied with the leaking of privacy.A dummy-based location-preserving scheme was proposed,which took the correlation between spatial issues and ...
Weihao LI   +3 more
doaj   +2 more sources

Friendship prediction model based on factor graphs integrating geographical location

open access: yesCAAI 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

Using Attributes Explicitly Reflecting User Preference in a Self-Attention Network for Next POI Recommendation

open access: yesISPRS International Journal of Geo-Information, 2022
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations.
Ruijing Li   +4 more
doaj   +1 more source

Location prediction in location-based social networks

open access: yesGlobal 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

Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine

open access: yesISPRS 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

Fake source-based source location privacy in wireless sensor networks [PDF]

open access: yes, 2015
The development of novel wireless sensor network (WSN) applications, such as asset monitoring, has led to novel reliability requirements. One such property is source location privacy (SLP).
Bradbury, Matthew S.   +2 more
core   +1 more source

An Adaptive System Supporting Collaborative Learning Based on a Location-Based Social Network and Semantic User Modeling

open access: yesInternational Journal of Distributed Sensor Networks, 2012
This paper presents an adaptive e-learning system which supports collaborative learning based on a location-based social network and semantic modeling. In the system, a social network among e-learning learners is dynamically constructed on the basis of ...
Sook-Young Choi, Jang-Mook Kang
doaj   +1 more source

A Privacy-Preserving Efficient Location-Sharing Scheme for Mobile Online Social Network Applications

open access: yesIEEE Access, 2020
The rapid development of mobile internet technology and the better availability of GPS have made mobile online social networks (mOSNs) more popular than traditional online social networks (OSNs) over the last few years.
Munmun Bhattacharya   +4 more
doaj   +1 more source

Finding Geo-Social Cohorts in Location-Based Social Networks

open access: yes, 2021
Given a record of geo-tagged activities, how can we suggest groups, or cohorts of likely companions? A brute-force approach is to perform a spatio-temporal join over past activity traces to find groups of users recorded as moving together; yet such an approach is inherently unscalable.
Muhammad Aamir Saleem   +3 more
openaire   +3 more sources

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