User position predicating system and method based on wireless network

Abstract

The invention relates to a user position predicating system based on a wireless network. The user position predicating system comprises a mobile data obtaining module, a mobile data cleaning module, a user history mobile record module and a mixed position predicating module, wherein the mixed position predicating module is provided with a stop assumption predicating sub module, a history predicating sub module, a jump predicating sub module, a collaborative filtering predicating sub module and a predicating result sub module, the history predicating sub module is based on time period division, and the predicating result sub module completes the user position predication according to predicating results of the stop assumption predicating sub module, the history predicating sub module based on time period division, the jump predicating sub module and the collaborative filtering predicating sub module. The invention also provides a user position predicating method based on the wireless network. The system and the method provided by the invention have the advantages that the real-time position predication in 24 hours is provided, and in addition, the predication result accuracy is high.

Description

technical field [0001] The present invention relates to a user location prediction system and method based on a wireless network, especially in the field of mobile communications, through the mobile communication network user wireless Internet access data to mine the user's mobile behavior characteristics, make the user's dynamic location prediction for the next 24 hours, and A system and method capable of dynamically modifying forecast results in real time according to changes in new data at any time. Background technique [0002] For position prediction, many related researches have been carried out, most of which use GPS data or combine with Bluetooth for indoor positioning. The location prediction methods include prediction through time series, and some try to classify the location and then make predictions, and some use neural network methods to make predictions. However, location predictions for real-time twenty-four hours or more have not been considered yet. [000...

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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