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A user network behavior prediction system and method based on behavior cognition

A prediction system and prediction algorithm technology, applied in the field of identification, can solve problems such as the inability to predict user network behavior, and achieve the effects of improving experience, improving flexibility, and saving energy consumption

Active Publication Date: 2019-05-10
WUHAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] In view of this, the embodiment of the present invention provides a user network behavior prediction system and method based on behavior cognition, to solve or at least solve the problem that the user's network behavior cannot be predicted in the prior art

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  • A user network behavior prediction system and method based on behavior cognition
  • A user network behavior prediction system and method based on behavior cognition
  • A user network behavior prediction system and method based on behavior cognition

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Embodiment 1

[0050] This embodiment provides a user network behavior prediction system based on behavior cognition, the system includes:

[0051] The behavior knowledge collection point 101 is used to collect the user's historical behavior information and collect the user's current behavior information, wherein the user's current behavior information includes network node usage information.

[0052] Specifically, Behavior Knowledge Collect Point (BKCP) is mainly used to collect behavior knowledge data, which includes user's historical behavior information and user's current behavior information.

[0053] In one embodiment, historical behavior information includes one or more of the following information:

[0054] GPS information, movement information, time information and usage information.

[0055]Specifically, movement information includes direction and speed. Usage information includes network node usage information, that is, communication behavior, please refer to figure 2 , is a h...

Embodiment 2

[0113] This embodiment provides a method for predicting user network behavior based on behavior cognition, please refer to Figure 4 , the method includes:

[0114] Step S401: collect the user's historical behavior information and collect the user's current behavior information through the behavior knowledge collection point, wherein the user's current behavior information includes network node usage information;

[0115] Step S402: managing the historical behavior information collected by the behavior knowledge collection point through the distributed behavior database management component;

[0116] Step S403: manage component node behavior model library through behavior model library, wherein, predictive algorithm model is pre-stored in the node behavior model library;

[0117] Step S404: providing pre-built cognitive knowledge and cognitive library through the behavioral cognitive library management component;

[0118] Step S405: Compare the current behavior information w...

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Abstract

The invention provides a user network behavior prediction system and method based on behavior cognition. The system comprises the components of: a system, wherein the behavior knowledge collection point is used for collecting historical behavior information of a user and collecting current behavior information of the user; the distributed behavior database management assembly is used for managinghistorical behavior information collected by the behavior knowledge collection points; the behavior model library management component is used for managing the node behavior model library; the behavior cognition library management assembly is used for providing pre-constructed cognition knowledge and a cognition library and comparing the current behavior information with the pre-constructed cognition knowledge and the pre-constructed cognition library; and after the current behavior of the user is determined, the current behavior of the user is matched with a corresponding prediction algorithmmodel in the node behavior model library, and a behavior cognition prediction component of the network behavior of the user is predicted based on the corresponding prediction algorithm model. The technical effects of predicting the network behavior of the user and optimizing the network are achieved.

Description

technical field [0001] The invention relates to the field of identification technology, in particular to a system and method for predicting user network behavior based on behavior cognition. Background technique [0002] Human behavior recognition is a technology that judges the state of human behavior by acquiring and analyzing data related to human behavior. By learning the basic behavioral activities of the human body, this technology can provide information for sports tracking, health monitoring, fall detection, elderly monitoring, patient recovery training, complex behavior recognition, auxiliary industrial manufacturing, human-computer interaction, augmented reality, indoor positioning and navigation, personal characteristics The research and application in many fields such as identification and urbanization calculation provide information about the human body, so it has important application value and research significance. [0003] In the prior art, mobile devices (...

Claims

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Application Information

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IPC IPC(8): G06F16/958G06F3/01G06K9/62H04W24/02H04W64/00
Inventor 张沪寅伍永豪李聪
Owner WUHAN UNIV
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