Method and device for collecting user behavior data

A behavior and data technology, applied in the network field, can solve the problems of poor data query performance and efficiency, and achieve the effect of rich description and improved accuracy
CN103593376AActive Publication Date: 2014-02-19ADVANCED NEW TECH CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
ADVANCED NEW TECH CO LTD
Publication Date
2014-02-19

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Abstract

The invention discloses a method and a device for collecting user behavior data. The method includes when occurrence of any operation behavior is detected, generating operation behavior data corresponding to the operation behavior; matching a data item in the operation behavior data with strategy items in multiple preset screening statistical strategies, and if the data item is matched with any screening statistical strategy successfully, acquiring a first screening statistical strategy identity corresponding to the screening statistical strategy; combining the first screening statistical strategy identity with a unique user identity in the operation behavior data to generate a keyword; storing the operation behavior data with same keyword into a preset storage space. By the method and the device, through real-time pre-computation processing, when any operation behavior occurs, the operation behavior data are subjected to classified storage according to multiple conditions, so that description of the user operation behavior data is enabled to be richer, and analysis accuracy of the user behavior data is improved.
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Description

technical field

[0001] The present application relates to the field of network technology, in particular to a method and device for collecting user behavior data. Background technique

[0002] CTU is the core monitoring system for risk control management in the network protection system. It mainly conducts real-time and non-real-time monitoring of the risk of embezzlement, fraud, and card theft, controls the loss of funds caused by these risks, and ensures the safety of customer funds and transactions.

[0003] That is, the user's behavior on the Internet site through the computer, such as logging in to Alipay, modifying information, paying funds and other operations.

[0004] In the original solution, when analyzing user operation behavior data (due to performance bottlenecks, only the maximum 6 hours before the current time can be queried), and then query all data in the maximum 6 hours before the current time from the massive data The original operation flow records, af...

Claims

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