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Data storage method and device

A technology for data and relational data, applied in the field of data storage methods and devices, can solve problems such as poor correlation of storage results and fragmentation of network access information, and achieve the effect of reducing costs

Active Publication Date: 2018-03-09
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The embodiment of the present invention provides a data storage method and device to at least solve the technical problem that the prior art adopts the method of storing data in time series, severely splits the user's network access information, and leads to poor correlation of storage results

Method used

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Examples

Experimental program
Comparison scheme
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Embodiment 1

[0052] According to an embodiment of the present invention, an embodiment of a data storage method is also provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0053] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 2 A block diagram of a hardware structure of a computer terminal (or mobile device) for implementing a data storage method is shown. Such as figure 2 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but not limited...

Embodiment 2

[0163] According to an embodiment of the present invention, a data storage device for implementing the above data storage method is also provided, such as Figure 14 As shown, the device 1400 includes:

[0164] The first acquisition module 140 is configured to acquire log information of at least one operation object, the log information including: multiple behavior data of any operation object, and a correlation factor when jumping between each behavior data;

[0165] The saving module 142 is used to save the behavior data of any one of the operation objects and the correlation factor when jumping between each of the behavior data based on the tree storage structure, so as to obtain the network behavior relationship data of each operation object;

[0166] The first determining module 144 is configured to determine a plurality of operation objects contained in the session in units of sessions during which the user accesses the operation objects;

[0167] The associa...

Embodiment 3

[0214] Embodiments of the present invention may provide a computer terminal, and the computer terminal may be any computer terminal device in a group of computer terminals. Optionally, in this embodiment, the foregoing computer terminal may also be replaced with a terminal device such as a mobile terminal.

[0215] Optionally, in this embodiment, the foregoing computer terminal may be located in at least one network device among multiple network devices of the computer network.

[0216] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the data storage method of the application program: obtain the log information of at least one operation object, and the log information includes: multiple behavior data of any operation object, and each The correlation factor when jumping between behavior data; the behavior data of any operation object and the correlation factor when jumping between each behavior data are save...

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Abstract

The invention discloses a data storage method and device. The method comprises the steps of obtaining log information of at least one operation object, wherein the log information comprises multiple pieces of behavior data of an arbitrary operation object and correlation factors among all pieces of behavior data during skipping; on the basis of a tree storage structure, saving the behavior data ofthe arbitrary operation object and the correlation factors among all the pieces of behavior data during skipping, and obtaining network behavior relation data of each operation object; with a sessionin the process of accessing each operation object by a user as a unit, determining multiple operation objects contained in the session; conducting correlative storage on the network behavior relationdata of the operation objects contained in the session, and obtaining a network assess result of the user in the session. By mean of the data storage method and device, the technical problem is solved that by adopting a time sequence data storage method in the prior art, the network access information of the user is seriously separated, so that the correlation performance of storage results is poor.

Description

technical field [0001] The present invention relates to the field of data storage, in particular to a data storage method and device. Background technique [0002] In the current era of big data, in order to quickly analyze and model user behavior, it is necessary to store massive big data in some form. Currently, several commonly used methods are: (1) "chimney stack" based on single behavior and single business scenario Mode" storage method, that is, each behavior of a user in each business scenario in the network will be stored as a row (that is, a record), and the business domain and behavior domain are independent of each other; (2) On the basis of method (1) Strictly according to the occurrence time of user behavior, all user behaviors are simply linearly connected together and stored in real-time sequence. [0003] The main disadvantage of time-series storage is that all behaviors in the user session (session) are concatenated together in strict chronological order. T...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F2216/03G06F16/2246G06F16/95
Inventor 叶一舟张锋杨磊
Owner ALIBABA GRP HLDG LTD
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