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Method for predicting basic attributes of mobile user based on privacy feedback

A technology of privacy feedback and basic attributes, applied in the Internet field, can solve problems such as unreachable, low recall rate and accuracy rate

Inactive Publication Date: 2015-01-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, neither the search content association analysis nor the habit-based classification prediction can achieve the desired effect, and the recall rate and precision rate are still very low.

Method used

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  • Method for predicting basic attributes of mobile user based on privacy feedback

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Embodiment Construction

[0019] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention.

[0020] In this embodiment, as shown in the figure, the algorithm flow of the method proposed by the present invention is provided:

[0021] Step 101, crawling the content of the URL accessed by the user, classifying the web pages by keyword matching, and obtaining (user ID, web page category) value pairs;

[0022] After keyword processing, an access record is converted into a (user ID, web page category) value pair.

[0023] Step 102, converting the (user ID, web page category) value pair into the user's click matrix R, and processing the matrix R with the TFIDF statistical method;

[0024] Count the (user ID, webpage category) value pairs obtained from the access log to get the total number n of webpage categories, count the webpage categories visited by the same user into o...

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Abstract

The invention discloses a method for predicting basic attributes of a mobile user based on privacy feedback, which is used for predicting basic attributes such as age and gender of the user by analyzing the browsing content of the mobile user. The method comprises the following steps: classifying the browsing behaviors of the user based on the browsing log of the user to obtain a user behavior preference click matrix, and acquiring a relation feedback matrix of the user by adopting an LFM (Local File Manager) method; analyzing the relation between the browsing behaviors of the user and the user to predict the basic attributes of the user according to the browsing behaviors of the user; realizing classified prediction of the basic attributes of the user by adopting a Bayesian network model. According to the method, the gender of the user is processed as male and female, and the age is processed as a multi-type problem after segmentation. The method has the beneficial effects that the basic attributes such as the gender and age of the user can be predicted by analyzing the browsing behaviors of the mobile user. The age prediction accuracy can be over 85 percent, and the gender prediction accuracy can be over 92 percent.

Description

technical field [0001] The invention relates to Internet technology, in particular to a realization method for predicting basic attributes of mobile users based on privacy feedback. Background technique [0002] The user's basic attributes play an important role in network applications. The user's basic attribute prediction is to predict the user's age, gender, income status, geographical location, education level, religious belief, etc. by analyzing the user's browsing behavior and search content. basic attributes. With the advent of web2.0 and the rapid development of mobile Internet, the basic attributes of users are becoming more and more important in network applications, and the related research content has become a hot research topic. For example, the personalized search service provided by Google returns a personalized search list for the user according to the user's geographical location information and the user's search history, so as to provide the user with a pe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06Q10/04G06F16/955
Inventor 程红蓉夏勇秦臻
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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