Results 1 to 10 of about 121,298 (158)
Location Regularization-Based POI Recommendation in Location-Based Social Networks [PDF]
Information, 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
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Language Modeling on Location-Based Social Networks [PDF]
ISPRS 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
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Enabling personalized smart tourism with location-based social networks [PDF]
PeerJ Computer ScienceWith 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
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Recurrent spatio-temporal modeling of check-ins in location-based social networks. [PDF]
PLoS 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
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Mining Location Influence for Location Promotion in Location-Based Social Networks
IEEE Access, 2018 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
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Location-Specific Influence Quantification in Location-Based Social Networks [PDF]
ACM Transactions on Intelligent Systems and Technology, 2019 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.
Ankita Likhyani +2 more
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Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2019 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
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The role of location and social strength for friendship prediction in location-based social networks [PDF]
Information Processing and Management, 2018 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 Valverde-Rebaza +2 more
exaly +5 more sources
Recommendation System Algorithms on Location-Based Social Networks: Comparative Study
Information, 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
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Personality and location-based social networks [PDF]
Computers in Human Behavior, 2015 Location-based social networks (LBSNs) are a recent phenomenon for sharing a presence at everyday locations with others and have the potential to give new insights into human behaviour. To date, due to barriers in data collection, there has been little research into how our personality relates to the categories of place that we visit.
Martin J. Chorley +2 more
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