Results 11 to 20 of about 122,063 (260)
Location Recommendation Algorithm Based on Location2vec [PDF]
Jisuanji gongcheng, 2019 In the location recommendation application,the traditional collaborative filtering recommendation algorithms are not effective due to the sparseness of the check-in data.In order to improve the recommendation effect and overcome the shortcomings of the ...
DING Yong, WANG Xiang, JIANG Cuiqing
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Location Regularization-Based POI Recommendation in Location-Based Social Networks
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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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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A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks
IEEE Access, 2019 In the environment of data explosion, how to make an effective and accurate personalized point of interest (POI) recommendation in location-based social networks (LBSNs) is a challenging and meaningful task.
Ren Yue-Qiang +3 more
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Predicting Venues in Location Based Social Network
Computer Science & Information Technology (CS & IT), 2017 The circulation of the social networks and the evolution of the mobile phone devices has led to a big usage of location based social network applications such as Foursquare, Twitter, Swarm and Zomato on mobile phone devices, which signifies a huge dataset containing a blend of information about users behaviors, social society network of each users and ...
Almallah, Omar, ALBAYRAK, Songül
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Acta 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
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Towards location-based social networking services [PDF]
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, 2010 Social networking applications have become very important web services that provide Internet-based platforms for their users to interact with their friends. With the advances in the location-aware hardware and software technologies, location-based social networking applications have been proposed to provide services for their users, taking into account
Chi-Yin Chow +2 more
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Discovering User’s Trends and Routines from Location Based Social Networks
Proceedings, 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
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Event Detection in Location-Based Social Networks [PDF]
, 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
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Friend and POI recommendation based on social trust cluster in location-based social networks
EURASIP 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
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