The paper deals with prediction of user movement in the context of enhancing location-aware services. Location and movement information are based on the simplest mechanism provided by mobile networks -broadcasted cell identification. The proposed approach includes the following steps: collecting information about user movement, analysing and learning user movement patterns, and applying movement knowledge to movement prediction. Movement prediction system based on the neural networks used for movement regularity detection and movement prediction is presented. Service architecture and an example service concludes the paper.

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