Results 11 to 20 of about 127,551 (298)
Behavior-based and Contextual Location Recommendation for Location Based Social Networks
Location-Based Social Networks (LBSNs) are social networks with functionalities that let users share their location information with other users. A service capable of improving user engagement and bring more check-ins to the Location-based Social Network is location recommendation.
Rahimi, Seyyed Mohammadreza
openaire +3 more sources
Query Processing of Geosocial Data in Location-Based Social Networks
The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be managed and queried.
Arianna D’Ulizia +2 more
doaj +1 more source
Review of Point of Interest Recommendation Systems in Location-Based Social Networks [PDF]
Point of interest recommendation is recently one of the hotspots in the field of location-based social networks and recommendation systems. Understanding the research status of the point of interest recommendation in location-based social networks can ...
CHEN Jiangmei, ZHANG Wende
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Location-based social networks have been widely used. However, due to the lack of effective and safe data management, a large number of privacy disclosures commonly occur.
Xiao Pan, Weizhang Chen, Lei Wu
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Location Recommendation Algorithm Based on Location2vec [PDF]
In the location recommendation application,the traditional collaborative filtering recommendation algorithms are not effective due to the sparseness of the check-in data.In order to improve the recommendation effect and overcome the shortcomings of the ...
DING Yong, WANG Xiang, JIANG Cuiqing
doaj +1 more source
Location prediction in location-based social networks
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
A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks
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 +3 more
doaj +1 more source
Opportunistic Social Networks for Academia [PDF]
This paper begins by describing the behavioural shift in online interactivity and how it has empowered the growth of online social networks and emergent forms of social awareness.
Tiropanis, Thanassis +3 more
core +1 more source
LocPriS: A Security and Privacy Preserving Location Based Services Development Framework [PDF]
With the ever increasing pervasiveness of devices with functionality to provide location based services comes the increased importance and reliance upon those services to provide user privacy and security.
Gareth Ayres +3 more
core +1 more source
Increasing demand for personalized tours for tourists travel in an urban area motivates more attention to points of interest (POI) and tour recommendation services.
Junjie Sun, Tomoki Kinoue, Qiang Ma
doaj +1 more source

