{"title":"为web数据库查询提供排名相关的结果","authors":"Ullas Nambiar, S. Kambhampati","doi":"10.1145/1013367.1013452","DOIUrl":null,"url":null,"abstract":"Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. The relevance detection is done using a domain and end-user independent content similarity estimation technique.","PeriodicalId":409891,"journal":{"name":"WWW Alt. '04","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Providing ranked relevant results for web database queries\",\"authors\":\"Ullas Nambiar, S. Kambhampati\",\"doi\":\"10.1145/1013367.1013452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. The relevance detection is done using a domain and end-user independent content similarity estimation technique.\",\"PeriodicalId\":409891,\"journal\":{\"name\":\"WWW Alt. '04\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WWW Alt. '04\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1013367.1013452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WWW Alt. '04","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1013367.1013452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Providing ranked relevant results for web database queries
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. The relevance detection is done using a domain and end-user independent content similarity estimation technique.