{"title":"在学术搜索中,搜索结果多样化有利于有效的公平排名","authors":"G. Mcdonald, C. Macdonald, I. Ounis","doi":"10.1007/s10791-021-09399-z","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54352,"journal":{"name":"Information Retrieval Journal","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Search results diversification for effective fair ranking in academic search\",\"authors\":\"G. Mcdonald, C. Macdonald, I. Ounis\",\"doi\":\"10.1007/s10791-021-09399-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54352,\"journal\":{\"name\":\"Information Retrieval Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2021-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Retrieval Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s10791-021-09399-z\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Retrieval Journal","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10791-021-09399-z","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.