Location Regularization-Based POI Recommendation in Location-Based Social Networks [PDF]
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
Language Modeling on Location-Based Social Networks [PDF]
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 +2 more sources
Enabling personalized smart tourism with location-based social networks [PDF]
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
Recurrent spatio-temporal modeling of check-ins in location-based social networks. [PDF]
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
Mining Location Influence for Location Promotion in Location-Based Social Networks
With the extensive application and in-depth study of location-based social networks (LBSNs), more and more businesses are utilizing the new social platform to promote their products and services.
Fei Yu, Shouxu Jiang
doaj +2 more sources
Location-Specific Influence Quantification in Location-Based Social Networks [PDF]
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.
Deepak P +2 more
exaly +3 more sources
Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks
Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs).
Elahe Khazaei, Abbas Alimohammadi
doaj +3 more sources
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 +3 more sources
The role of location and social strength for friendship prediction in location-based social networks [PDF]
Abstract Recent advances in data mining and machine learning techniques are focused on exploiting location data. These advances, combined with the increased availability of location-acquisition technology, have encouraged social networking services to offer to their users different ways to share their location information.
Jorge C Valverde-Rebaza +2 more
exaly +5 more sources
Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj +3 more sources

