:: Volume 3, Issue 3 (2-2014) ::
JGST 2014, 3(3): 87-100 Back to browse issues page
Knowledge Discovery in Geo-Social Networks to Provide a Location Recommending Service
M. Forghani *, F. Hakimpour
Abstract:   (5723 Views)
The increasing availability of location-acquisition technologies like GPS has enabled people to record their location history and sharing it on internet. Using this capability in web based social networks and considering the shared spatio-temporal data as edge that connects users of social networks to spatial data layer, has resulted geo-social networks. The dimension of location brings social networks back to reality, bridging the gap between the physical world and online social networking services. With the huge amount of frequently updated information from all around the world, geo-social networks are rich sources for data mining which can be used in providing different efficient location based services and improving user's social relations structure. In this paper we aim to mine interesting locations, attractive travel sequences and expert users in a given geospatial region according to multiple users' shared check-in data that has been modeled with a hierarchical uniform framework. At the end, by using discovered knowledge, a service that will offer location for visiting according to the user's spatio - temporal query has been represented.
Keywords: Geo-Social Networks, Spatial Data Mining, Location Recommending Services
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Type of Study: Research | Subject: GIS

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Volume 3, Issue 3 (2-2014) Back to browse issues page