网络社交书签中的民俗分类法构建与分析

Zhongming Han, Qian Mo, Yanjun Liu, Min Zuo
{"title":"网络社交书签中的民俗分类法构建与分析","authors":"Zhongming Han, Qian Mo, Yanjun Liu, Min Zuo","doi":"10.1109/BICTA.2010.5645104","DOIUrl":null,"url":null,"abstract":"Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing and analyzing folksonomy in online social bookmarking\",\"authors\":\"Zhongming Han, Qian Mo, Yanjun Liu, Min Zuo\",\"doi\":\"10.1109/BICTA.2010.5645104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.\",\"PeriodicalId\":302619,\"journal\":{\"name\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2010.5645104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2010.5645104","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

在网络社会书签系统中构建民俗分类法的研究近年来备受关注。本文分析了基于标签共现的构建方法存在的问题,提出了一种基于熵的标签关系度量方法。在此基础上,提出了一种阈值调整算法。最后进行了全面的实验,结果表明我们的方法可以有效地构建民俗分类法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing and analyzing folksonomy in online social bookmarking
Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.
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:604180095
Book学术官方微信