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A contextualized and personalized model to predict user interest using location-based social networks

The accurate determination of user interest in terms of geographic information is essential to numerous mobile applications, such as recommender systems and mobile advertising. User interest is greatly influenced by the usage context and varies across individuals; therefore, a user interest model sh...

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Bibliographic Details
Main Authors: Li, Ming (Author) , Sagl, Günther (Author) , Mburu, Lucy (Author) , Fan, Hongchao (Author)
Format: Article (Journal)
Language:English
Published: 23 April 2016
In: Computers, environment and urban systems
Year: 2016, Volume: 58, Pages: 97-106
DOI:10.1016/j.compenvurbsys.2016.03.006
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.compenvurbsys.2016.03.006
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0198971516300357
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Author Notes:Ming Li, Günther Sagl, Lucy Mburu, Hongchao Fan

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