{"title":"在混合点对点网络中查找主页","authors":"Enrico Bragante, M. Melucci","doi":"10.5555/1931390.1931439","DOIUrl":null,"url":null,"abstract":"This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show that the proposed ranking scheme permits to find the correct homepages after exploring a small portion of a hybrid, hierarchical peer-to-peer network when the group of peers which includes the peer that stores the correct homepage is selected. A large, highly heterogeneous Web data test collection searched by homepage finding queries was used. The low computational overhead and the good effectiveness allow for an implementation in information retrieval environments.","PeriodicalId":120472,"journal":{"name":"RIAO Conference","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Homepage Finding in Hybrid Peer-to-Peer Networks\",\"authors\":\"Enrico Bragante, M. Melucci\",\"doi\":\"10.5555/1931390.1931439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show that the proposed ranking scheme permits to find the correct homepages after exploring a small portion of a hybrid, hierarchical peer-to-peer network when the group of peers which includes the peer that stores the correct homepage is selected. A large, highly heterogeneous Web data test collection searched by homepage finding queries was used. The low computational overhead and the good effectiveness allow for an implementation in information retrieval environments.\",\"PeriodicalId\":120472,\"journal\":{\"name\":\"RIAO Conference\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RIAO Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/1931390.1931439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RIAO Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/1931390.1931439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show that the proposed ranking scheme permits to find the correct homepages after exploring a small portion of a hybrid, hierarchical peer-to-peer network when the group of peers which includes the peer that stores the correct homepage is selected. A large, highly heterogeneous Web data test collection searched by homepage finding queries was used. The low computational overhead and the good effectiveness allow for an implementation in information retrieval environments.