{"title":"A survey in traditional information retrieval models","authors":"Hai Dong, F. Hussain, E. Chang","doi":"10.1109/DEST.2008.4635214","DOIUrl":null,"url":null,"abstract":"As a matter of fact, many so-called semantic search algorithms are derived from the traditional index-term-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.","PeriodicalId":380627,"journal":{"name":"2008 2nd IEEE International Conference on Digital Ecosystems and Technologies","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd IEEE International Conference on Digital Ecosystems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEST.2008.4635214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
As a matter of fact, many so-called semantic search algorithms are derived from the traditional index-term-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.