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User demand accurate extraction system and method based on feature space

A technology based on user needs and feature space, applied in the computer field, can solve problems such as losing interest in information browsing or product purchase, wasting user time, and insufficient depth of mining, etc. It meets the requirements of simple source and data characteristics, prevents distortion, and reduces limitations Effect

Inactive Publication Date: 2022-05-27
山东衡昊信息技术有限公司
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  • Abstract
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Problems solved by technology

[0003] However, the current existing technology based on obtaining user information to extract demand points is not deep enough and lacks precision in mining user demand points.
As a result, the range of information pushed to users is too large, and the amount of information is too much, which wastes user time to a certain extent, makes users have a poor sense of experience, and loses interest in information browsing or product purchase

Method used

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  • User demand accurate extraction system and method based on feature space
  • User demand accurate extraction system and method based on feature space
  • User demand accurate extraction system and method based on feature space

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Embodiment Construction

[0060] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings in this embodiment, so as to fully understand and implement the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects. It should be noted that, as long as there is no conflict, the various features in the various embodiments of the present invention can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0061] refer to figure 1 , the present invention proposes a feature space-based user demand point accurate extraction system according to the present invention, which includes the following parts:

[0062] Historical user information storage module 10, historical user information acquisition module 20, real-time user information acquisition module 30, first preprocessing module 40, second preprocessi...

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Abstract

The invention provides a user demand point accurate extraction system and method based on a feature space. According to the method, data assignment and integral operation are introduced, a correlation coefficient solving method is adopted, a historical demand feature space vector construction method and a precise demand point output formula are adopted, user demand features are deeply mined, and a precise demand point feature extraction algorithm is constructed.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method for accurately extracting user requirements based on feature space. Background technique [0002] The rapid development of mobile Internet technology enables people to obtain information anytime, anywhere, and people's lives have undergone earth-shaking changes. Various types of Internet that rely on the acquisition of users' daily information to obtain user needs and push demand-related information and products to users. Technology came into being. [0003] However, the current technology for extracting demand points based on obtaining user information is not deep enough for user demand point mining, and lacks accuracy. As a result, the range of information pushed to the user is too large and the amount of information is too large, which wastes the user's time to a certain extent, makes the user have a poor sense of experience, and loses interest in information browsing or pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06F16/901G06F16/9035G06N3/02Y02D10/00
Inventor 李东孙彤文强姜蔚
Owner 山东衡昊信息技术有限公司
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