System and method for acquiring user data in user equipment based on soft sensor

Abstract

The invention discloses a system and method for collecting user data in user equipment based on a soft sensor. The system comprises an initialization device which carries out the analysis of a presetconfiguration file, so as to determine a plurality of data types of the user data needing to be collected; the sensor generation device is used for generating the plurality of soft sensors and carrying out time continuous collection on the operation data of the respective corresponding data types by utilizing each soft sensor; the data sampling device is used for determining each sampling point from the operation data continuously acquired by each soft sensor according to the respective sampling time interval and taking a data set of the operation data at each sampling point as a sampling dataset of each soft sensor; and the data processing device is used for determining the sampled data set subjected to data filtering of each soft sensor as the acquired user data. According to the invention, the behavior data of the user for the rich media can be collected, and the space scale of log reporting can be reduced.

Description

technical field [0001] The present invention relates to the technical field of data collection, and more specifically, to a system and method for collecting user data in user equipment based on soft sensors. Background technique [0002] The collection of user behavior data of an application or application program (App) is a data collection behavior by recording user actions in the App. The collected behavioral data is usually logged. App developers can restore the user's operation details through the collected App user behavior data logs, and mine user tendencies, preferences, etc. according to the operation details, so as to provide evaluation and guidance data for operations. [0003] Traditionally, methods for collecting user behavior data focus on user actions such as clicking. For example, when a user performs actions such as clicking, the system triggers the recording of operating actions such as clicking and generates a log of user behavior data. Such logs associat...

AI Technical Summary

Problems solved by technology

The problem with this solution is: when the anchor point collection is inaccurate, it cannot reflect the user’s staying status, and the business needs to intrude on the content, such as how the anchor point is triggered, it needs to be pre-embedded in the content

These exceptions automatically trigger the scene, which will cause the user behavior log to lack the record of the end time

In general, since the user's behavior is a process, and the collection of logs is triggered by a single point, it will be lost due to a single point, for example, because the app is closed abnormally, resulting in the lack of end logs

In this case, when the overall data of the log is calculated on the server side, data deviations often occur, resulting in dirty data and missing records.

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