Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A system for obtain personalized characteristic of user and document

A document and user technology, applied in the Internet field, can solve problems such as difficult to effectively classify, update, and semantic differences in personalized information, and achieve the effect of improving anti-cheating capabilities

Active Publication Date: 2018-12-07
朱艳玲
View PDF7 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A system for obtain personalized characteristic of user and document
  • A system for obtain personalized characteristic of user and document
  • A system for obtain personalized characteristic of user and document

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0039] Example 1 is a method of manually setting the initial value of the parameter vector of user m (m∈U) or document n (n∈D). For example, set the total number of features L=5, feature set K=(science, education, finance, music, sports), set U(m)=(uwm1, uwm2, uwm3, uwm4, uwm5)=(0,0.9,0,1 ,0). That is, the correlation between user m and the "education" feature is 0.9, the correlation with the "music" feature is 1, and the correlation with other features is zero. Similarly, the initial value of the parameter vector D(n)=(dwn1, dwn2, . . . , dwnk, . . . , dwnL) of the document n may be set.

[0040] Example 2 is the method of setting the initial value of the parameter vector of user m (m∈U). First, a set of document collections is submitted by the user m The parameter vector of the document r(r∈H) is (dwr1, dwr2, ..., dwrL), and then, for each k∈K, set uwmk=(σ1 / s)∑(r∈H)dwrk Or uwmk=(σ1 / s)·∑(r∈H)[dwrk / (∑(k∈K)dwrk)], where s is the number of elements in the set H, and σ1 is a...

example 2

[0059] Example 2: The method of normalizing the kth document column vector (dw1k, dw2k, ..., dwNk) in the document set D is as follows: first sort the set {dw1k, dw2k, ..., dwNk) , and divide the collection {dw1k, dw2k, ..., dwNk} into r groups with approximately equal numbers of elements according to the sorting results, wherein the relationship between any two groups a and b is that any element in group a is greater than or equal to b Any element in the group, or any element in group a is less than or equal to any element in group b; take out the data with the smallest value in each group to form a set {s1, s2, ..., sr}, and s1sr, set dwnk=1. Where g1(sm) is an increasing function, g1(sm)∈(0, 1), for example, g1(sm)=sm / sr; 1≤m<r, r is a set positive number. In the same way, the column vector of the kth user in the user set U can be normalized.

[0060] exist image 3 In an application example of the method, after performing the step S16, it further includes setting uwmk=u...

example 1

[0070] Example 1: Let the λ1(n, m, T) and the λ2(m, n, T) be set constants. For example, λ1(n, m, T)=c1 and λ2(m, n, T)=c2, where c1 and c2 are set normal constants, such as c1=c2=0.01.

[0071] Example 2: the λ1(n, m, T) and the λ2(m, n, T) are respectively decreasing functions of the frequency of accessing the document set D by the user m. For example, if λ1(n, m, T)=1 / g2[freq(m)], λ2(m,n,T)=1 / g2[freq(m)], the g2(x) is an increasing function. For example, g2(x) is a piecewise function, when x

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method and a system for obtaining personalized characteristics of users and documents. The method automatically updates the personalized characteristics of the user and the document by a signal of the user accessing the document. The personalized characteristic of the user is updated according to the personalized characteristic of the document visited by the user. The personalized features of the document are updated according to the personalization features of the users who have accessed the document. According to the personalized characteristics of users and documents, personalized document sorting can be realized in search engine. Personalized information filtering and filtering can be implemented in social networks according to the personalized characteristicsof users and documents. The invention also provides a system for acquiring personalized characteristics of users and documents. The method of the invention can improve the precision of the search engine and the efficiency of searching information by the social network. In addition, the method of the invention can improve the anti-cheating ability of the webpage ranking algorithm.

Description

[0001] This application is a divisional application of a patent with an application date of June 25, 2012, an application number of 201210228726.1, and an invention title of "A Method and System for Obtaining Personalized Features of Users and Documents". technical field [0002] 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 [0003] Search engines and social networks are the main tools for obtaining information on the Internet. These two tools have a common shortcoming, that is, they cannot filter and filter information according to the user's personalized characteristics. For example, if different users enter the same keyword in the same search engine, the returned search results are the same, regardless of which user submits the search query; different users establish the same relationship network in the same social network, The information it obt...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 祁勇
Owner 朱艳玲
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com