Information processing method and device, storage medium and electronic equipment

Abstract

The invention discloses an information processing method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining a to-be-completed track in a current time period; determining a first correlation relationship between the track characteristics of the to-be-completed track and the track characteristics of a historical fusion track; fusing the historical fusion track and the to-be-completed track according to the first correlation relationship to obtain a target fusion track; determining a second correlation between the track characteristics of the targetfusion track and the track characteristics of the to-be-completed track; and according to the second correlation relationship and the sampling time of the trace points in the to-be-completed track, performing trace point completion processing on the to-be-completed track to obtain a completed track. According to the scheme, the missing values of the tracks of the similar tracks are complemented by learning the big data of the user tracks, so that the denseness and the information accuracy of the trace point information in the tracks are improved.

Description

technical field [0001] The present application relates to the technical field of information processing, and in particular to an information processing method, device, storage medium and electronic equipment. Background technique [0002] With the popularity of mobile devices and the rise of mobile Internet technologies, including LBS (Location Based Services, location-based services), LBS-based services are showing a thriving ecological development. For example, through the user's location search, it is possible to better make LBS-based offline recommendations to the user; through the user's social positioning data, a better offline social experience can be provided. [0003] However, although the mobile data collection method based on smart terminals has the advantages of higher efficiency and wider coverage than the previous method based on questionnaires, at the same time, privacy protection is getting more and more attention, and the collected data is facing sparseness....

AI Technical Summary

Problems solved by technology

[0003] However, although the mobile data collection method based on smart terminals has the advantages of higher efficiency and wider coverage than the previous method based on questionnaires, at the same time, privacy protection is getting more and more attention, and the collected data is facing sparseness. problems, which greatly limit the progress of research related to mobile modeling

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