{"title":"使用组合页面搜索网络","authors":"R. Varadarajan, Vagelis Hristidis, Tao Li","doi":"10.1145/1148170.1148331","DOIUrl":null,"url":null,"abstract":"Given a user keyword query, current Web search engines return a list of pages ranked by their “goodness” with respect to the query. However, this technique misses results whose contents are distributed across multiple physical pages and are connected via hyperlinks and frames [3]. That is, it is often the case that no single page contains all query keywords. Li et al. [3] make a first step towards this problem by returning a tree of hyperlinked pages that collectively contain all query keywords. The limitation of this approach is that it operates at the page-level granularity, which ignores the specific context where the keywords are found within the pages. More importantly, it is cumbersome for the user to locate the most desirable tree of pages due to the amount of data in each page tree and a large number of page trees.","PeriodicalId":433366,"journal":{"name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Searching the web using composed pages\",\"authors\":\"R. Varadarajan, Vagelis Hristidis, Tao Li\",\"doi\":\"10.1145/1148170.1148331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given a user keyword query, current Web search engines return a list of pages ranked by their “goodness” with respect to the query. However, this technique misses results whose contents are distributed across multiple physical pages and are connected via hyperlinks and frames [3]. That is, it is often the case that no single page contains all query keywords. Li et al. [3] make a first step towards this problem by returning a tree of hyperlinked pages that collectively contain all query keywords. The limitation of this approach is that it operates at the page-level granularity, which ignores the specific context where the keywords are found within the pages. More importantly, it is cumbersome for the user to locate the most desirable tree of pages due to the amount of data in each page tree and a large number of page trees.\",\"PeriodicalId\":433366,\"journal\":{\"name\":\"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1148170.1148331\",\"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 29th annual international ACM SIGIR conference on Research and development in information retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1148170.1148331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Given a user keyword query, current Web search engines return a list of pages ranked by their “goodness” with respect to the query. However, this technique misses results whose contents are distributed across multiple physical pages and are connected via hyperlinks and frames [3]. That is, it is often the case that no single page contains all query keywords. Li et al. [3] make a first step towards this problem by returning a tree of hyperlinked pages that collectively contain all query keywords. The limitation of this approach is that it operates at the page-level granularity, which ignores the specific context where the keywords are found within the pages. More importantly, it is cumbersome for the user to locate the most desirable tree of pages due to the amount of data in each page tree and a large number of page trees.