Wireless-network-based user position predicting system and method

Abstract

Disclosed is a wireless-network-based user position predicting system. The wireless-network-based user position predicting system comprises a movement data obtaining module, a movement data cleaning module, a user history movement recording module and a mixed position predicting module. The mixed position predicting module is provided with a staying assumption predicting submodule, a history predicting submodule based on time division, a skip predicting submodule, a collaborative filtering predicting submodule and a prediction result submodule wherein the prediction result submodule completes user position prediction according to the prediction results of the staying assumption predicting submodule, the history predicting submodule based on time division, the skip predicting submodule and the collaborative filtering predicting submodule. The invention also discloses a wireless-network-based user position predicting method. The wireless-network-based user position predicting system and the wireless-network-based user position predicting system have the advantages of providing 24-hour real-time position prediction and being highly accurate in predicting results.

Description

Technical field [0001] The invention relates to a user location prediction system and method based on a wireless network, especially in the field of mobile communication, mining user mobile behavior characteristics through wireless Internet access data of mobile communication network users, and making a dynamic location prediction of the user in the next 24 hours, and The system and method that can dynamically modify the prediction results in real time according to the changes of new data. Background technique [0002] There are many related researches on location prediction, most of which use GPS data or combined with Bluetooth for indoor positioning. The methods of location prediction include prediction through time series, others try to classify locations and then make predictions, and some use neural network methods to make predictions. However, for real-time 24 hours or longer position prediction, it has not yet been considered. [0003] Some methods proposed in the prior ar...

AI Technical Summary

Problems solved by technology

The prediction scheme of this invention is too simple, and the prediction result only depends on the coordinate information of the first three positions. As long as the user changes the movement plan, the prediction result will have a huge deviation from the actual situation, and the stability is poor

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