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Method and device for obtaining user network operation characteristics

A network operation and user technology, applied in special data processing applications, instruments, calculations, etc.

Inactive Publication Date: 2016-10-05
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The purpose of this application is to provide a method and device for obtaining user network operation characteristics, which can solve the problem of quantifying the dispersion of operation dimensions and obtaining user network operation characteristics according to the dispersion of operation dimensions

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  • Method and device for obtaining user network operation characteristics
  • Method and device for obtaining user network operation characteristics
  • Method and device for obtaining user network operation characteristics

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Embodiment Construction

[0058] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0059] Memory may include non-permanent storage in computer-readable media, in the form of random access memory (RAM) and / or nonvolatile memory, such as read-only memory (ROM) or flash memory (flashRAM). Memory is an example of computer readable media.

[0060] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), re...

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Abstract

The invention provides a method and a device for obtaining user network operation characteristics. According to the method and device, a corresponding operation dimension discrete degree is determined according to an accumulated quantity of user network operation information in each operation dimension at each moment; the corresponding operation dimension discrete degree during occurrence of each piece of the user network operation information can be accurately quantified and visually presented; a quantization value does not depend on personal experience; and the quantified operation dimension discrete degrees are compared to obtain various user network operation characteristics. In addition, the accumulated quantity of the user network operation information in each operation dimension is recorded in a binary tree or a balanced binary tree, so that the time complexity of operation of a search tree can be lowered. Furthermore, an operation dimension entropy serves as the operation dimension discrete degree, so that the operation dimension discrete degree can be determined more visually and more conveniently.

Description

technical field [0001] The present application relates to the fields of communications and computers, and in particular to a method and device for acquiring user network operation characteristics. Background technique [0002] For big data statistics, the most basic statistics are data distribution such as the operational dimension (distribution) of user network operation information. By analyzing the data distribution, some additional knowledge and information such as user network operation characteristics can be obtained. For example, in an actual application scenario where the distribution of user network operation information is the distribution of user login time points / login locations, due to different time schedules / regions of users, the distribution of user login time points / login locations has a unique distribution law. If the user's login account occurs suddenly, deviates from normal behavior habits, and performs login operations at infrequent login times / location...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 胡四海
Owner ALIBABA GRP HLDG LTD
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