{"title":"聚类在Web用户信息检索中的应用","authors":"Sachin Sharma, V. Mangat","doi":"10.1109/ISCBI.2013.64","DOIUrl":null,"url":null,"abstract":"This paper focuses on personalization of \"user information needs\" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"28 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clustering in User Information Retrieval on Web\",\"authors\":\"Sachin Sharma, V. Mangat\",\"doi\":\"10.1109/ISCBI.2013.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on personalization of \\\"user information needs\\\" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.\",\"PeriodicalId\":311471,\"journal\":{\"name\":\"2013 International Symposium on Computational and Business Intelligence\",\"volume\":\"28 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Symposium on Computational and Business Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCBI.2013.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Computational and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCBI.2013.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper focuses on personalization of "user information needs" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.