{"title":"用于高效Web页面过滤服务的用户配置文件的索引结构","authors":"Yi-Hung Wu, Arbee L. P. Chen","doi":"10.1109/ICDCS.2000.840981","DOIUrl":null,"url":null,"abstract":"Searching information from the WWW efficiently and effectively has become a very important issue. We apply the information filtering concept to finding good matches of Web pages to what the user needs. Furthermore, we propose four new methods for indexing user information needs and show their efficiency in comparison with two well-known approaches.","PeriodicalId":284992,"journal":{"name":"Proceedings 20th IEEE International Conference on Distributed Computing Systems","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Index structures of user profiles for efficient Web page filtering services\",\"authors\":\"Yi-Hung Wu, Arbee L. P. Chen\",\"doi\":\"10.1109/ICDCS.2000.840981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Searching information from the WWW efficiently and effectively has become a very important issue. We apply the information filtering concept to finding good matches of Web pages to what the user needs. Furthermore, we propose four new methods for indexing user information needs and show their efficiency in comparison with two well-known approaches.\",\"PeriodicalId\":284992,\"journal\":{\"name\":\"Proceedings 20th IEEE International Conference on Distributed Computing Systems\",\"volume\":\"171 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 20th IEEE International Conference on Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.2000.840981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 20th IEEE International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.2000.840981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Index structures of user profiles for efficient Web page filtering services
Searching information from the WWW efficiently and effectively has become a very important issue. We apply the information filtering concept to finding good matches of Web pages to what the user needs. Furthermore, we propose four new methods for indexing user information needs and show their efficiency in comparison with two well-known approaches.