Results 21 to 30 of about 1,010,894 (298)

Discovery of Points of Interest with Different Granularities for Tour Recommendation Using a City Adaptive Clustering Framework

open access: yesActa Informatica Pragensia, 2021
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

Discovering User’s Trends and Routines from Location Based Social Networks

open access: yesProceedings, 2018
Location data is a powerful source of information to discover user’s trends and routines. A suitable identification of the user context can be exploited to provide automatically services adapted to the user preferences. In this paper, we define a Dynamic
Sergio Salomón   +2 more
doaj   +1 more source

Friend and POI recommendation based on social trust cluster in location-based social networks

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
Friend and point-of-interest (POI) recommendation are two primary individual services in location-based social networks (LBSNs). Major social platforms such as Foursquare and Instagram are all capable of recommending friends or POIs to individuals ...
Jinghua Zhu   +5 more
doaj   +1 more source

Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks

open access: yesIEEE Access, 2020
With advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction.
Fei Hao   +5 more
doaj   +1 more source

Spatio-semantic user profiles in location-based social networks [PDF]

open access: yes, 2017
Knowledge of users’ visits to places is one of the keys to understanding their interest in places. User-contributed annotations of place, the types of places they visit, and the activities they carry out, add a layer of important semantics that, if ...
Abdelmoty, Alia, Mohamed, Soha
core   +2 more sources

Social network user geolocating method based on weighted least squares

open access: yes网络与信息安全学报, 2022
When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by ...
Wenqi SHI, Xiangyang LUO, Jiashan GUO
doaj   +3 more sources

Finding Potential Propagators and Customers in Location-Based Social Networks: An Embedding-Based Approach

open access: yesApplied Sciences, 2020
In the scenarios of location-based social networks (LBSN), the goal of location promotion is to find information propagators to promote a specific point-of-interest (POI).
Yi-Chun Chen, Cheng-Te Li
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.
Saleem, Muhammad Aamir   +3 more
openaire   +4 more sources

Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks

open access: yesISPRS International Journal of Geo-Information, 2021
Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult.
Yi-Chung Chen   +3 more
doaj   +1 more source

Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks

open access: yesIEEE Access, 2019
Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks. Although the IBM problem has been extensively studied, existing works neglect the fact that the location information can play an important role in ...
Wenlong Zhu   +6 more
doaj   +1 more source

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