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Method and system for acquiring individuation characteristics of users and documents

A document and user technology, applied in the Internet field, can solve problems such as difficult and effective classification, difficulties, semantic differences of personalized information, etc., and achieve the effect of improving the precision rate, improving the efficiency of information retrieval, and improving the ability of anti-cheating

Inactive Publication Date: 2013-09-25
祁勇
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The second is the update of personalized information
As time goes by, personal information such as users' hobbies, work location, industry and education level will change, but it is difficult to require most users to update their personalized information in real time
The third is the semantic difference of personalized information
Among the personalized features set by the user, it is difficult to effectively classify the personalized features with different terms but the same semantics
The fourth is the completeness of personalized information

Method used

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  • Method and system for acquiring individuation characteristics of users and documents
  • Method and system for acquiring individuation characteristics of users and documents
  • Method and system for acquiring individuation characteristics of users and documents

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0065] Example 1: The f 1 [K u (j)] is the uw jk The increasing function of ∑ (k∈K) uw jk The subtraction function; the f 2 [K d (i)] is the dw ik The increasing function of ∑ (k∈K) dw ik The subtraction function of .

example 2

[0066] Example 2: f 1 [K u (j)] = σ 3 ·uw jk / (∑ (k∈K) uw jk ), f 2 [K d (i)] = σ 4 · dw ik / (∑ (k∈K) dw ik ), where σ 3 and σ 4 to set the constant.

example 3

[0067] Example 3: f 1 [K u (j)] = σ 5 ·uwjk , f 2 [K d (i)] = σ 6 · dw ik , where σ 5 and σ 6 to set the constant.

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PUM

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Abstract

The invention provides a method and a system for acquiring individuation characteristics of users and documents. According the method, the individuation characteristics of the users and the documents are updated automatically through signals that the users visit the documents. The individuation characteristics of the users are updated according to the individuation characteristics of the documents which are visited by users; the individuation characteristics of the documents are updated according to the individuation characteristic of the users who visit the documents. According to the acquired individuation characteristics of the users and the documents, optimization is carried out to a webpage sort algorithm so as to realize individuation document sorting; further filtering and screening can be carried out to information acquired from a social networking according to the individuation characteristics of the users and the documents. The invention further provides a system for acquiring the individuation characteristics of the users and the documents. The method provided by the invention has the advantages that the precision ratio of a search engine and the anti-cheating capability of a webpage ranking algorithm can be improved, and the information searching efficiency of the social networking is improved.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a method and a system for acquiring personalized features of users and documents. Background technique [0002] Search engines and social networks are the main tools for obtaining network information on the Internet. But these two tools have a common shortcoming, that is, they do not take into account the role of user and document personalization in information retrieval. [0003] A search engine is an application program that uses information retrieval technology to collect, index, and sort web pages on a large scale, and present web pages to query users based on the sorting results. The core technology of a search engine is a sorting algorithm. The most effective sorting algorithm is a hyperlink analysis algorithm, such as Google's PageRank algorithm. The input of the hyperlink analysis algorithm is the webpage link relationship constructed by the webpage designer according to hi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 祁勇
Owner 祁勇
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