网络搜索结果的多样性分析

Suneel Kumar Kingrani, M. Levene, Dell Zhang
{"title":"网络搜索结果的多样性分析","authors":"Suneel Kumar Kingrani, M. Levene, Dell Zhang","doi":"10.1145/2786451.2786502","DOIUrl":null,"url":null,"abstract":"Are web search results usually dominated by major websites and therefore lacking diversity? In this paper, we aim to answer this question by quantitatively modelling the diversity of search results for popular queries using two diversity measures well-studied in ecology, namely Simpson's diversity index and Shannon's diversity index. Our theoretical analysis shows how the diversity of search results is determined by the Zipfian distribution of websites. Our empirical analysis reveals that comparing Google and Bing, the former is more diverse in the top-50 search results, while the latter is more diverse in the top-10 search results.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Diversity Analysis of Web Search Results\",\"authors\":\"Suneel Kumar Kingrani, M. Levene, Dell Zhang\",\"doi\":\"10.1145/2786451.2786502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Are web search results usually dominated by major websites and therefore lacking diversity? In this paper, we aim to answer this question by quantitatively modelling the diversity of search results for popular queries using two diversity measures well-studied in ecology, namely Simpson's diversity index and Shannon's diversity index. Our theoretical analysis shows how the diversity of search results is determined by the Zipfian distribution of websites. Our empirical analysis reveals that comparing Google and Bing, the former is more diverse in the top-50 search results, while the latter is more diverse in the top-10 search results.\",\"PeriodicalId\":93136,\"journal\":{\"name\":\"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2786451.2786502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2786451.2786502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

网络搜索结果通常由主要网站主导,因此缺乏多样性吗?在本文中,我们的目标是通过使用生态学中得到充分研究的两种多样性指标,即辛普森多样性指数和香农多样性指数,对流行查询的搜索结果的多样性进行定量建模,来回答这个问题。我们的理论分析表明,搜索结果的多样性是如何由网站的Zipfian分布决定的。我们的实证分析表明,b谷歌与必应相比,前者在前50名搜索结果中更加多样化,而后者在前10名搜索结果中更加多样化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Diversity Analysis of Web Search Results
Are web search results usually dominated by major websites and therefore lacking diversity? In this paper, we aim to answer this question by quantitatively modelling the diversity of search results for popular queries using two diversity measures well-studied in ecology, namely Simpson's diversity index and Shannon's diversity index. Our theoretical analysis shows how the diversity of search results is determined by the Zipfian distribution of websites. Our empirical analysis reveals that comparing Google and Bing, the former is more diverse in the top-50 search results, while the latter is more diverse in the top-10 search results.
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
期刊最新文献
Opinions on Homeopathy for COVID-19 on Twitter. An Initial Study of Depression Detection on Mandarin Textual through BERT Model WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26 - 29, 2022 WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, 21-25 June, 2021, Companion Publication In conversation with Martha Lane Fox and Wendy Hall on the Future of the Internet
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1