Mining Foursquare User Check-in Habit Based on Historical Check-in Records
Location prediction is the latest development direction in these year. This paper proposes a new method which does not need each individual history path and ID to match his/her history path with prediction path database to predict the user’s next location. In this experiment, we used two pair of coordinates to give a prediction. It’s based on the foursquare dataset. And through changing the factors that affect the location prediction, like length and time, in the general experiment, the accuracy of the prediction will be enhanced.
KeywordsData mining Next location prediction Foursqure
The authors of this paper are thankful to the financial supports of the grant offered with code: MYRG2015-00024, called “Building Sustainable Knowledge Networks through Online Communities” by RDAO, University of Macau.
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