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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Predicting User Locations and Trajectories
verfasst von : Eelco Herder, Patrick Siehndel, Ricardo Kawase
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer International Publishing
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Location-based services usually recommend new locations based on the user’s current location or a given destination. However, human mobility involves to a large extent routine behavior and visits to already visited locations. In this paper, we show how daily and weekly routines can be modeled with basic prediction techniques. We compare the methods based on their performance, entropy and correlation measures. Further, we discuss how location prediction for everyday activities can be used for personalization techniques, such as timely or delayed recommendations.