{"title":"霍加皮语的语境学习","authors":"A. Goker","doi":"10.1108/EUM0000000007194","DOIUrl":null,"url":null,"abstract":"A user who makes repeated use of a retrieval system may be assumed to have a context which is common to successive uses (even if the immediate need differs). An IR system which could make use of this context may be better able to match the specific need. A machine‐learning approach to inferring the user’s context is described, and the results of an evaluation experiment are given. There appears to be scope for IR systems to operate in this way.","PeriodicalId":47969,"journal":{"name":"Journal of Documentation","volume":"53 1","pages":"80-83"},"PeriodicalIF":1.7000,"publicationDate":"1997-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/EUM0000000007194","citationCount":"29","resultStr":"{\"title\":\"Context learning in Okapi\",\"authors\":\"A. Goker\",\"doi\":\"10.1108/EUM0000000007194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A user who makes repeated use of a retrieval system may be assumed to have a context which is common to successive uses (even if the immediate need differs). An IR system which could make use of this context may be better able to match the specific need. A machine‐learning approach to inferring the user’s context is described, and the results of an evaluation experiment are given. There appears to be scope for IR systems to operate in this way.\",\"PeriodicalId\":47969,\"journal\":{\"name\":\"Journal of Documentation\",\"volume\":\"53 1\",\"pages\":\"80-83\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"1997-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1108/EUM0000000007194\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Documentation\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/EUM0000000007194\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Documentation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/EUM0000000007194","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
A user who makes repeated use of a retrieval system may be assumed to have a context which is common to successive uses (even if the immediate need differs). An IR system which could make use of this context may be better able to match the specific need. A machine‐learning approach to inferring the user’s context is described, and the results of an evaluation experiment are given. There appears to be scope for IR systems to operate in this way.
期刊介绍:
The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies