为网页自动推荐可供选择的链接结构的可视化系统

H. Ramadhan, A. Al-Hosni
{"title":"为网页自动推荐可供选择的链接结构的可视化系统","authors":"H. Ramadhan, A. Al-Hosni","doi":"10.1109/ICCITECHNOL.2011.5762680","DOIUrl":null,"url":null,"abstract":"A web usage mining and visualization tool for analyzing the efficiency of design and structure of index pages is presented. The tool uses visual views to identify optimal locations for links and classes of links in a page. The tool automatically generates the recommended redesign of the page. Measures used to accomplish that are visit frequencies, time spent, and a combined time and visit approach. Experimental evaluation reported tends to support the usefulness of the tool in achieving its objectives.","PeriodicalId":211631,"journal":{"name":"2011 International Conference on Communications and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A visual system for automatically recommending alternative link structures for web pages\",\"authors\":\"H. Ramadhan, A. Al-Hosni\",\"doi\":\"10.1109/ICCITECHNOL.2011.5762680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A web usage mining and visualization tool for analyzing the efficiency of design and structure of index pages is presented. The tool uses visual views to identify optimal locations for links and classes of links in a page. The tool automatically generates the recommended redesign of the page. Measures used to accomplish that are visit frequencies, time spent, and a combined time and visit approach. Experimental evaluation reported tends to support the usefulness of the tool in achieving its objectives.\",\"PeriodicalId\":211631,\"journal\":{\"name\":\"2011 International Conference on Communications and Information Technology (ICCIT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communications and Information Technology (ICCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHNOL.2011.5762680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communications and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHNOL.2011.5762680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种用于分析索引页设计和结构效率的web使用情况挖掘和可视化工具。该工具使用可视化视图来确定页面中链接和链接类的最佳位置。该工具会自动生成建议的页面重新设计。用于实现这一目标的措施包括访问频率、花费的时间以及时间和访问的组合方法。报告的实验评价倾向于支持该工具在实现其目标方面的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A visual system for automatically recommending alternative link structures for web pages
A web usage mining and visualization tool for analyzing the efficiency of design and structure of index pages is presented. The tool uses visual views to identify optimal locations for links and classes of links in a page. The tool automatically generates the recommended redesign of the page. Measures used to accomplish that are visit frequencies, time spent, and a combined time and visit approach. Experimental evaluation reported tends to support the usefulness of the tool in achieving its objectives.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信