估计搜索引擎的有用性

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337) Pub Date : 1999-03-23 DOI:10.1109/ICDE.1999.754917

W. Meng, King-Lup Liu, Clement T. Yu, Wensheng Wu, N. Rishe

{"title":"估计搜索引擎的有用性","authors":"W. Meng, King-Lup Liu, Clement T. Yu, Wensheng Wu, N. Rishe","doi":"10.1109/ICDE.1999.754917","DOIUrl":null,"url":null,"abstract":"In this paper, we present a statistical method to estimate the usefulness of a search engine for any given query. The estimates can be used by a metasearch engine to choose local search engines to invoke. For a given query, the usefulness of a search engine in this paper is defined to be a combination of the number of documents in the search engine that are sufficiently similar to the query and the average similarity of these documents. Experimental results indicate that the proposed estimation method is quite accurate.","PeriodicalId":236128,"journal":{"name":"Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"Estimating the usefulness of search engines\",\"authors\":\"W. Meng, King-Lup Liu, Clement T. Yu, Wensheng Wu, N. Rishe\",\"doi\":\"10.1109/ICDE.1999.754917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a statistical method to estimate the usefulness of a search engine for any given query. The estimates can be used by a metasearch engine to choose local search engines to invoke. For a given query, the usefulness of a search engine in this paper is defined to be a combination of the number of documents in the search engine that are sufficiently similar to the query and the average similarity of these documents. Experimental results indicate that the proposed estimation method is quite accurate.\",\"PeriodicalId\":236128,\"journal\":{\"name\":\"Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1999.754917\",\"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 15th International Conference on Data Engineering (Cat. No.99CB36337)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1999.754917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 61

摘要

在本文中，我们提出了一种统计方法来估计搜索引擎对任何给定查询的有用性。元搜索引擎可以使用这些估计来选择要调用的本地搜索引擎。对于给定的查询，本文将搜索引擎的有用性定义为搜索引擎中与该查询足够相似的文档数量与这些文档的平均相似度的组合。实验结果表明，该方法具有较高的估计精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Estimating the usefulness of search engines

In this paper, we present a statistical method to estimate the usefulness of a search engine for any given query. The estimates can be used by a metasearch engine to choose local search engines to invoke. For a given query, the usefulness of a search engine in this paper is defined to be a combination of the number of documents in the search engine that are sufficiently similar to the query and the average similarity of these documents. Experimental results indicate that the proposed estimation method is quite accurate.

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

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)

自引率

0.00%

发文量