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Web user preferences and behavior clustering based on BP neural network

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成果类型:
期刊论文
作者:
Tang, Xiaoyue*;Li, Shijun;Yu, Wei
通讯作者:
Tang, Xiaoyue
作者机构:
[Tang, Xiaoyue] Wuhan Polytech Univ, Sch Math & Comp Sci, Jinyinhu Machi Rd, Wuhan 430024, Hubei, Peoples R China.
[Yu, Wei; Li, Shijun] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Tang, Xiaoyue] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Jinyinhu Machi Rd, Wuhan 430024, Hubei, Peoples R China.
语种:
英文
关键词:
BP neural network;cluster analysis;web user preference analysis;SOFM
期刊:
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN:
1064-1246
年:
2020
卷:
38
期:
2
页码:
1189-1196
基金类别:
Special Projects for Technological Innovation of Hubei Province [2018ABA099]; Hubei Provincial Natural Science Foundation [2019CFB250]; Research Project of Hubei Provincial Department of Education [B2019060]; Research Project ofWuhan Polytechnic University [2017y13, XM-2019020]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
The paper uses BP neural network method to analyze the behavior preference of web users to achieve user behavior clustering, help advertisers to find online advertising design and optimize web design. At the same time, the paper analyzes the user preference cluster analysis, which helps users to find the desired webpage and content more conveniently, shorten the retrieval time and improve the retrieval efficiency. Firstly, the paper analyzes the log files of the web server, and then conducts session classification, finds the frequent data from the session vector, and normalizes the generated p...

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