Unlock instant, AI-driven research and patent intelligence for your innovation.

A Multidimensional Web Browsing Behavior Evaluation Method

A web browsing, multi-dimensional technology, applied in the direction of network data retrieval, network data indexing, instruments, etc., can solve problems such as the inability to meet the needs of social informatization development, and achieve the effect of improving the catch rate and increasing the accuracy.

Active Publication Date: 2020-02-07
HUAIYIN INSTITUTE OF TECHNOLOGY
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method of web browsing analysis by questionnaire survey can no longer meet the needs of social information development

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 Multidimensional Web Browsing Behavior Evaluation Method
  • A Multidimensional Web Browsing Behavior Evaluation Method
  • A Multidimensional Web Browsing Behavior Evaluation Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0044] The present invention comprises the steps:

[0045] Step 1: Segment the text in the Sogou corpus, calculate the word frequency TF and inverse document probability IDF of the word and use it as a text feature, use the Naive Bayesian method to perform text classification training on the corpus, obtain a text training set, and analyze the text in the Sogou corpus Split in half to get the verification test set, and get the optimal Laplacian smoothing parameter Alpha through traversal, specifically as figure 2 Shown:

[0046] Step 1.1: Define CATE 1 , CATE 2 , CATE 3 , CATE 4 , CATE 5 , CATE 6 , CATE 7 , CATE 8 , CATE 9 They are financial, Internet, health, education, military, tourism, sports, culture and other categories of text collections, define SougouC as the Sogou corpus, SougouC={CATE 1 , CATE 2 ,...,CATE 9}, CATE i ={t...

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 discloses a multi-dimensional webpage browsing behavior evaluation method. Firstly, the word segmentation of the text in the Sogou corpus is performed using TF-IDF as the text feature, and the Naive Bayesian method is used to train the corpus to obtain a text training set, and the Sogou corpus is The text of the text is cut in half to obtain the verification test set, and the optimal Laplacian smoothing parameter Alpha is obtained by traversal, and then the specified text content of the browsed web page is crawled to obtain the title set of the browsed web page, and then Alpha's Naive Bayesian is used The method classifies the browsed web page title set to obtain the browsed web page classification set, and adds the web page information greater than the threshold value into the text training set, and uses multi-dimensional data such as the residence time and browsing terminal when browsing the web page, and adopts terminal-time-classification The discriminant method evaluates the web browsing data and obtains the evaluation result. The method of the invention effectively analyzes webpage browsing information, and improves the accuracy of webpage browsing behavior evaluation.

Description

technical field [0001] The invention belongs to the technical field of web browsing behavior analysis, in particular to a multi-dimensional web browsing behavior evaluation method based on TF-IDF and Naive Bayesian. Background technique [0002] Web browsing behavior evaluation methods have an important role and significance in realizing the analysis of people's behavior habits. The traditional method of web browsing analysis by questionnaire survey can no longer meet the needs of social information development. In recent years, for the analysis of network behavior of different types of people, researchers have proposed corresponding analysis methods, such as neural network, support vector machine, decision tree, KNN method, genetic method, etc. [0003] The existing research foundations of Zhu Quanyin, Jia Xiaoying and others include: Zhu Quanyin, Yan Yunyang, Zhou Pei, Gu Tianfeng. A commodity price prediction model based on linear interpolation and adaptive sliding windo...

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 Patents(China)
IPC IPC(8): G06F16/00
CPCG06F16/35G06F16/951G06F40/289
Inventor 朱全银潘舒新冯万利李翔贾笑颖胡荣林周泓于柿民赵阳瞿学新杨茂灿唐海波邵武杰
Owner HUAIYIN INSTITUTE OF TECHNOLOGY