Web Session Identification Based on Probabilistic Latent Semantic Analysis

GAO Chun-zhen; WU Jun-hua

Chinese

您当前的位置：

首页 >

文章列表页 >

Web Session Identification Based on Probabilistic Latent Semantic Analysis

更新时间：2026-09-04

- Web Session Identification Based on Probabilistic Latent Semantic Analysis
- Vol. 27, Issue 6, Pages: 163-166(2010)
- 作者机构：
  
  南京工业大学机构信息科学与工程学院,江苏,南京,210009
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
高春贞, 吴军华. 基于概率潜在语义分析的Web用户会话识别[J]. 微电子学与计算机, 2010, 27(6): 163-166.

GAO Chun-zhen, WU Jun-hua. Web Session Identification Based on Probabilistic Latent Semantic Analysis[J]. 2010, 27(6): 163-166.
高春贞, 吴军华. 基于概率潜在语义分析的Web用户会话识别[J]. 微电子学与计算机, 2010, 27(6): 163-166. DOI：

GAO Chun-zhen, WU Jun-hua. Web Session Identification Based on Probabilistic Latent Semantic Analysis[J]. 2010, 27(6): 163-166. DOI：

摘要

为提高Web用户会话识别的准确性

给出了一种基于概率潜在语义分析模型(PLSA)和竞争奖罚(CRP)算法的Web用户会话识别方法.其核心内容是利用PLSA模型计算出请求页面和每一个活动用户会话的概率

比较概率判定请求页面应该归属的用户会话

并采用竞争奖罚算法判别用户会话的结束.实验结果表明:基于PLSA模型和竞争奖罚算法的用户会话识别方法的识别成功率高于其他常用的会话识别方法.

Abstract

To improve the validity and efficiency of the user session identification

a new approach of user session identification is presented

which is based on the probabilistic latent semantic analysis model and the competitive reward and punishment algorithm.The probabilistic latent semantic analysis model is used to compute the probabilities of a request and each active session.The model identifies which active session a request should belong to in terms of the probabilities.A competitive reward and punishment method is applied to determine the end of sessions.The experimental results show that the average percentage of successfully reconstructed sessions based on PLSA and CRP is higher than other session identification algorithms.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Implementation and verification of a dual-chain power gating strategy for low power design

A review of large model development: technological evolution from BERT to Deepseek

Design of ultra-low power real-time clock circuits

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Research on the design of blockchain-based AI-generated content traceability framework

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰