{"title":"使用图顶点比较的通道检索","authors":"T. Dkaki, J. Mothe, Q. Truong","doi":"10.1109/SITIS.2007.82","DOIUrl":null,"url":null,"abstract":"In this paper, we describe an Information retrieval Model based on graph comparison. It is inspired from previous work such as KleinbergpsilaHits and Blondel et al.psilas model. Unlike previous methods, our model considers different types of nodes: text nodes (elements to retrieve and query) and term nodes, so that the resulting graph is a bipartite graph. The results on passage retrieval task show that high precision is improved using this model.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"289 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Passage Retrieval Using Graph Vertices Comparison\",\"authors\":\"T. Dkaki, J. Mothe, Q. Truong\",\"doi\":\"10.1109/SITIS.2007.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe an Information retrieval Model based on graph comparison. It is inspired from previous work such as KleinbergpsilaHits and Blondel et al.psilas model. Unlike previous methods, our model considers different types of nodes: text nodes (elements to retrieve and query) and term nodes, so that the resulting graph is a bipartite graph. The results on passage retrieval task show that high precision is improved using this model.\",\"PeriodicalId\":234433,\"journal\":{\"name\":\"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System\",\"volume\":\"289 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2007.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2007.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we describe an Information retrieval Model based on graph comparison. It is inspired from previous work such as KleinbergpsilaHits and Blondel et al.psilas model. Unlike previous methods, our model considers different types of nodes: text nodes (elements to retrieve and query) and term nodes, so that the resulting graph is a bipartite graph. The results on passage retrieval task show that high precision is improved using this model.