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Workload characterization of a location-based social network

Social Network Analysis and Mining, 2014
Recently, there has been a large popularization of location-based social networks, such as Foursquare and Apontador, in which users can share their current locations, upload tips and make comments about places. Part of this popularity is due to facility access to the Internet through mobile devices with GPS.
Theo Lins   +2 more
openaire   +1 more source

GeoLife2.0: A Location-Based Social Networking Service

2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009
GeoLife2.0 is a GPS-data-driven social networking service where people can share life experiences and connect to each other with their location histories. By mining people’s location history, GeoLife can measure the similarity between users and perform personalized friend recommendation for an individual. Later, we can predict the individual’s interest
Yu Zheng 0004   +3 more
openaire   +1 more source

Secure hitch in location based social networks

Computer Communications, 2017
We propose a privacy-preserving proximity based location query (PPLQ) protocol, which enables each querier to get the location information of publisher without violating users location privacy.The proposed protocol utilizes prefix membership verification and predicate encryption technique to achieve the secure multi-dimensional keyword search and ...
Shiwen Zhang 0004   +5 more
openaire   +1 more source

Providing recommendations on location-based social networks

Journal of Ambient Intelligence and Humanized Computing, 2016
During the last decade, in parallel with the rapid growth of mobile communications and devices, location-based social networks have met a tremendous growth with the acceptance of the public being constantly increasing. Users have access to a plethora of venues and points of interest, while they are able to share their visits to various locations along ...
Pavlos Kosmides   +6 more
openaire   +1 more source

Annotating semantic tags of locations in location-based social networks

GeoInformatica, 2019
Location-based social networks (LBSNs) have become popular platforms that allow users to share their check-in activities with friends. Annotating semantic tags of locations, as one of the hottest research topics in LBSNs, has attracted considerable attention. Semantic annotation requires sufficient location features to train classifiers.
Yanhui Li   +4 more
openaire   +1 more source

Exploiting mobility for location promotion in location-based social networks

2014 International Conference on Data Science and Advanced Analytics (DSAA), 2014
In this paper, we target the location promotion problem in location-based social networks (LBSNs). The location promotion problem is given a location, we select a set of users as seeds to influence as many users as possible who are likely to visit a selected location.
Wen-Yuan Zhu   +2 more
openaire   +1 more source

Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks

ACM Transactions on Knowledge Discovery from Data, 2016
With the explosion of smartphones and social network services, location-based social networks (LBSNs) are increasingly seen as tools for businesses (e.g., restaurants and hotels) to promote their products and services. In this article, we investigate the key techniques that can help businesses promote their locations by advertising wisely ...
Wen-Yuan Zhu   +4 more
openaire   +4 more sources

A novel approach for location promotion on location-based social networks

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2015
Maximizing the spread of influence was recently studied in several models of social networks. For location-based social networks, it also plays an important role, so a further research about this field is necessary. In this study, based on users' movement histories and their friendships, we first design the Predicting Mobility in the Near Future (PMNF)
openaire   +1 more source

Multi-location Influence Maximization in Location-Based Social Networks

2018
With the development of location-based social networks (LBSNs), location property has been gradually integrated into the influence maximization problem, the key point of which is to bring the users in social networks (online phase) to the product locations for consuming in the real world (offline phase).
Zhen Zhang   +3 more
openaire   +1 more source

Algorithms for Trajectory Points Clustering in Location-based Social Networks

ACM Transactions on Intelligent Systems and Technology, 2022
Nan Han, Shaojie Qiao, Jianbin Huang
exaly  

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