一种用于组织网页的新型文档聚类

R. Subhashini, J. Senthil, V. Kumar
{"title":"一种用于组织网页的新型文档聚类","authors":"R. Subhashini, J. Senthil, V. Kumar","doi":"10.18000/IJISAC.50079","DOIUrl":null,"url":null,"abstract":"The exponential growth of information on the World Wide Web has prompted for developing efficient and effective methods for organizing and retrieving the information. Clustering techniques play an important role in searching and organization of web pages. In this paper we proposed an approach for web search results clustering based on a new document clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. This believes that clusters of search results are easier to browse than a single ordered list. Experimental results show that the new approach has better performance than that of conventional web search result clustering.","PeriodicalId":121456,"journal":{"name":"International Journal on Information Sciences and Computing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A NOVEL DOCUMENT CLUSTERING FOR ORGANIZING THE WEB PAGES\",\"authors\":\"R. Subhashini, J. Senthil, V. Kumar\",\"doi\":\"10.18000/IJISAC.50079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The exponential growth of information on the World Wide Web has prompted for developing efficient and effective methods for organizing and retrieving the information. Clustering techniques play an important role in searching and organization of web pages. In this paper we proposed an approach for web search results clustering based on a new document clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. This believes that clusters of search results are easier to browse than a single ordered list. Experimental results show that the new approach has better performance than that of conventional web search result clustering.\",\"PeriodicalId\":121456,\"journal\":{\"name\":\"International Journal on Information Sciences and Computing\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Information Sciences and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18000/IJISAC.50079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Information Sciences and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18000/IJISAC.50079","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

万维网上信息的指数级增长促使人们开发出高效的组织和检索信息的方法。聚类技术在网页搜索和组织中起着重要的作用。本文提出了一种基于文档聚类算法的网页搜索结果聚类方法。它是搜索引擎的单一排序结果的替代方案。这种方法向用户显示一个集群列表。它认为搜索结果集群比单个有序列表更容易浏览。实验结果表明,该方法比传统的web搜索结果聚类具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A NOVEL DOCUMENT CLUSTERING FOR ORGANIZING THE WEB PAGES
The exponential growth of information on the World Wide Web has prompted for developing efficient and effective methods for organizing and retrieving the information. Clustering techniques play an important role in searching and organization of web pages. In this paper we proposed an approach for web search results clustering based on a new document clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. This believes that clusters of search results are easier to browse than a single ordered list. Experimental results show that the new approach has better performance than that of conventional web search result clustering.
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