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Enabling personalized smart tourism with location-based social networks [PDF]

open access: yesPeerJ Computer Science
With the rapid advance of mobile internet, communication technology and the Internet of Things (IoT), the tourism industry is undergoing unprecedented transformation. Smart tourism offers users personalized and customized services for travel planning and
Yuqi Shen   +4 more
doaj   +3 more sources

Location Regularization-Based POI Recommendation in Location-Based Social Networks [PDF]

open access: yesInformation, 2018
POI (point-of-interest) recommendation as one of the efficient information filtering techniques has been widely utilized in helping people find places they are likely to visit, and many related methods have been proposed.
Lei Guo, Haoran Jiang, Xinhua Wang
doaj   +2 more sources

Event Detection in Location-Based Social Networks [PDF]

open access: yes, 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   +6 more sources

Recurrent spatio-temporal modeling of check-ins in location-based social networks. [PDF]

open access: yesPLoS ONE, 2018
Social networks are getting closer to our real physical world. People share the exact location and time of their check-ins and are influenced by their friends.
Ali Zarezade   +2 more
doaj   +2 more sources

LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks [PDF]

open access: yesProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Location-based social networks (LBSNs) such as Foursquare offer a platform for users to share and be aware of each other’s physical movements. As a result of such a sharing of check-in information with each other, users can be influenced to visit (or check-in) at the locations visited by their friends.
Likhyani, Ankita   +2 more
openaire   +4 more sources

Locative Media and Sociability: Using Location-Based Social Networks to Coordinate Everyday Life [PDF]

open access: yesArchitecture_MPS, 2018
Foursquare was a mobile social networking application that enabled people to share location with friends in the form of “check-ins.” The visualization of surrounding known social connections as well as unknown others has the potential to impact how ...
Agar J   +57 more
doaj   +6 more sources

Language Modeling on Location-Based Social Networks

open access: yesISPRS International Journal of Geo-Information, 2022
The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information.
Juglar Diaz   +2 more
doaj   +1 more source

Recommendation System Algorithms on Location-Based Social Networks: Comparative Study

open access: yesInformation, 2022
Currently, social networks allow individuals from all over the world to share ideas, activities, events, and interests over the Internet. Using location-based social networks (LBSNs), users can share their locations and location-related content ...
Abeer Al-Nafjan   +2 more
doaj   +1 more source

Query Processing of Geosocial Data in Location-Based Social Networks

open access: yesISPRS International Journal of Geo-Information, 2021
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]

open access: yesJisuanji kexue yu tansuo, 2022
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
doaj   +1 more source

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