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Network user behaviors personalization expression method based on semantic matrix

A semantic matrix and network user technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of being easy to master, assisting scientific and technological knowledge innovation, and helping discovery and acquisition

Inactive Publication Date: 2008-12-31
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, users can only describe the information they need through a few keywords, plus the shortcomings of traditional keyword-based search

Method used

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  • Network user behaviors personalization expression method based on semantic matrix
  • Network user behaviors personalization expression method based on semantic matrix
  • Network user behaviors personalization expression method based on semantic matrix

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Embodiment Construction

[0039]A preferred embodiment of the present invention is described in detail as follows in conjunction with accompanying drawing: The specific steps of this expressive method of network user behavior individualization based on semantic matrix are as follows:

[0040] 1. Define the influencing factors of user behavior as follows: operation type (OT, Option Type): a certain type of user behavior (such as searching, browsing, downloading); operation content (OC, Option Content): the object of user behavior, related data ( Such as searching keywords, browsing article content); operation weight (OW, Option Weight): the influence degree of user behavior determined by the system on user preference, expressed as a floating point number.

[0041] 2. After analyzing the user's behavior, the system can start to build a semantic matrix to understand and remember the user's preference, so that the user's preference can be used as a calculation factor to participate in personalized search or...

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Abstract

The invention relates to a network user behavior individualization expression method defining influence factors of network user behavior into: operation content, operation type and operation weight. A semantic matrix is formed according to the types of user behavior and items in the semantic matrix represent the interested concepts of users and values in the semantic matrix represent the interested concepts of users and the relevance between concepts and the relevance degree; the user behavior semantic matrix can be updated and evolved according to the changing of user preference. The core of the invention is to form the semantic matrix from the point of user browse behavior and content analysis and to describe individualized characteristics of network user behavior on the basis of inference rules of matrix operation. The method can promptly and effectively express the individualized behavior of network users so as to lead a computer to master and carry out understanding process. The invention can provide technical solutions for realizing individualized searching and active push.

Description

technical field [0001] The invention relates to a method for expressing network user behavior, more specifically, a method for expressing personalized network user behavior based on semantic matrix. Background technique [0002] With the development of information and network technology, people can easily obtain a huge amount of information resources involving various fields through network media. The network also helps and supports scientific and technological innovation activities of scientific researchers to a large extent. But at the same time, there are more and more resources and information on the Internet. How users can accurately and effectively obtain the knowledge they need; how scientific researchers can effectively obtain the knowledge they care about has become an urgent problem to be solved. Traditional search engines based on keyword technology perform searches through the calculation of {keywords, articles, frequency}. The advantage of this search method i...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 骆祥峰方宁徐炜民
Owner SHANGHAI UNIV
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