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Knowledge Discovery in Geo-Social Networks to Provide a Location Recommending Service
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M. Forghani *   , F. Hakimpour |
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Abstract: (7806 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. |
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| Keywords: Geo-Social Networks, Spatial Data Mining, Location Recommending Services |
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Full-Text [PDF 505 kb]
(2536 Downloads)
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Type of Study: Research |
Subject:
GIS
Received: 2014/09/10
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