An efficient approach for web navigation using ant colony optimization

Hitesh Hasija
{"title":"An efficient approach for web navigation using ant colony optimization","authors":"Hitesh Hasija","doi":"10.1109/ICRAIE.2014.6909295","DOIUrl":null,"url":null,"abstract":"Implementing an optimization technique to provide user navigation is a difficult task because users are dynamic in nature. But, this paper satisfies this demand by providing ranking to different parameters like usability aspects (web usage mining) and also to the keywords & description of web pages (web content mining) as well as to the in links and out links (web structure mining) and provides relative information matrix for different web pages. This model is converted to graph form and ant colony optimization is applied over it, by defining a suitable heuristic function and optimum results are obtained within a specified time constraint.","PeriodicalId":355706,"journal":{"name":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAIE.2014.6909295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Implementing an optimization technique to provide user navigation is a difficult task because users are dynamic in nature. But, this paper satisfies this demand by providing ranking to different parameters like usability aspects (web usage mining) and also to the keywords & description of web pages (web content mining) as well as to the in links and out links (web structure mining) and provides relative information matrix for different web pages. This model is converted to graph form and ant colony optimization is applied over it, by defining a suitable heuristic function and optimum results are obtained within a specified time constraint.
一种基于蚁群优化的网页导航方法
实现为用户提供导航的优化技术是一项艰巨的任务,因为用户本质上是动态的。但是,本文通过对可用性等不同参数进行排序(web使用率挖掘),对网页的关键词和描述进行排序(web内容挖掘),对网页的内链接和外链接进行排序(web结构挖掘),满足了这一需求,并提供了不同网页的相关信息矩阵。将该模型转换为图形形式,通过定义合适的启发式函数对其进行蚁群优化,在给定的时间约束下得到最优结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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