Massive user behaviors calculation method

A computing method and large data volume technology, which is applied in the field of large data volume user behavior calculations, can solve problems such as calculation index errors, unsatisfactory real-time performance, timeouts, etc., and achieve strong scalability, strong concurrency of streaming computing, and real-time strong effect

Inactive Publication Date: 2018-05-01
小花网络科技(深圳)有限公司
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Problems solved by technology

[0006] Since the first and second types often exist at the same time, when the amount of data is large, the real-time performance cannot satisfy the calculation, and it may time out or cause calculation index errors

Method used

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Embodiment Construction

[0024] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0025] The present invention provides a user behavior calculation method for a large amount of data, such as Figure 1 ~ Figure 3 As shown, a preferred embodiment of the present invention is shown therein. Such as figure 1 As shown, the user behavior calculation method includes:

[0026] Step S101, continuously collecting user behavior information data;

[0027] Step S102, storing the collected user behavior information data in the message queue;

[0028] Step S103, obtain the data of the message queue in real time, use streaming computing to multi-dimensionally enhance the information data that cannot be collected by the user, and write the enhanced information data to the distributed search server and the message queue at the same time;

[0029] Step S104, obtain enhanced message queue data through the distribute...

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Abstract

The invention relates to a massive user behaviors calculation method. The method comprises the steps of constantly collecting user behavior information data; storing the collected user behavior information data in a message queue; acquiring data of the message queue in real time, enhancing information data that cannot be collected by a user in multiple dimensions, and writing the enhanced information data into a distributed search server and the message queue; and acquiring enhanced message queue data through a distributed calculation engine, dynamically configuring a user behavior index and calculating the user behavior index in a stream computing manner, and writing a calculation result of the user behavior index into the distributed search server. The user behaviors calculation method can meet requirements of real-time performance, concurrency and extensibility of massive user behaviors calculation.

Description

technical field [0001] The invention relates to a user behavior calculation method, in particular to a user behavior calculation method for large data volumes. Background technique [0002] In Internet finance microfinance, risk control is a crucial link. The quality of risk control directly affects the profit and loss of a company. In order to assess risks, it is necessary to conduct real-time statistics on the characteristics of user behavior, and the user behavior indicators calculated in real time are used to control risks by setting thresholds. [0003] For example: in the action event applied by the user, the number of people who came from a certain channel in the past day is used to analyze the abnormal behavior of the whole network. Previous feature information calculation schemes for user actions generally include the following: [0004] The first method: store the data in a relational database, add indexes to the fields that need to be counted, and count the user...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06Q40/08
CPCG06F9/4881G06Q40/08
Inventor 庞东泳黄凌鹏官建辉
Owner 小花网络科技(深圳)有限公司
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