Results 11 to 20 of about 1,010,893 (298)
Personality and location-based social networks [PDF]
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.
Chorley, Martin J. +2 more
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Location-Based Social Networking Data [PDF]
Trip distribution is an invaluable portion of the transportation planning process; this distribution leads to the creation of origin–destination (O-D) matrices. Location-based social networking (LBSN) has increased in popularity and sophistication and has emerged as a new travel demand data source.
Peter J. Jin +5 more
openaire +1 more source
Location Recommendation Algorithm Based on Location2vec [PDF]
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
doaj +1 more source
Location Regularization-Based POI Recommendation in Location-Based Social Networks
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 +1 more source
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
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A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks
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
doaj +1 more source
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 +1 more source
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
Towards location-based social networking services [PDF]
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, Jie Bao, Mohamed F. Mokbel
openaire +1 more source
Discovering User’s Trends and Routines from Location Based Social Networks
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

