{"title":"Measuring Generality of Documents","authors":"H. Shin, E. Hovy, D. McLeod, Larry Pryor","doi":"10.1109/ICDEW.2006.77","DOIUrl":null,"url":null,"abstract":"Most traditional Information Retrieval (IR) systems, including web search engines, operationalize \"relevant\" as the word frequency in a document of a set of keywords. Because of this limitation, traditional IR systems frequently retrieve irrelevant documents in response to a user’s request. In this paper, we propose a new criterion, \"generality,\" that provides an additional basis on which to rank retrieved documents. The generality is a level of abstraction to retrieve results based on desired generality appropriate for a user’s knowledge and interests. We compared our generality quantification algorithm with human judges’ weighting of values to show that the developed algorithm is significantly correlated.","PeriodicalId":331953,"journal":{"name":"22nd International Conference on Data Engineering Workshops (ICDEW'06)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference on Data Engineering Workshops (ICDEW'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2006.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Most traditional Information Retrieval (IR) systems, including web search engines, operationalize "relevant" as the word frequency in a document of a set of keywords. Because of this limitation, traditional IR systems frequently retrieve irrelevant documents in response to a user’s request. In this paper, we propose a new criterion, "generality," that provides an additional basis on which to rank retrieved documents. The generality is a level of abstraction to retrieve results based on desired generality appropriate for a user’s knowledge and interests. We compared our generality quantification algorithm with human judges’ weighting of values to show that the developed algorithm is significantly correlated.