{"title":"建议:一个Web使用挖掘系统","authors":"R. Baraglia, P. Palmerini","doi":"10.1109/ITCC.2002.1000401","DOIUrl":null,"url":null,"abstract":"During their navigation, Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Sophisticated data mining processes are needed for this knowledge to be extracted, understood and used. In this paper, we propose a Web usage mining (WUM) system, called SUGGEST, which dynamically generates suggested links to Web pages of potential interest for a user. SUGGEST is designed to efficiently integrate the WUM process with the ordinary Web server functionalities. It can provide useful information to make the user's Web navigation easier and to optimize the Web server's performance. Two quantities are introduced in order to give a measure of the quality of our WUM system.","PeriodicalId":115190,"journal":{"name":"Proceedings. International Conference on Information Technology: Coding and Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"SUGGEST: a Web usage mining system\",\"authors\":\"R. Baraglia, P. Palmerini\",\"doi\":\"10.1109/ITCC.2002.1000401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During their navigation, Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Sophisticated data mining processes are needed for this knowledge to be extracted, understood and used. In this paper, we propose a Web usage mining (WUM) system, called SUGGEST, which dynamically generates suggested links to Web pages of potential interest for a user. SUGGEST is designed to efficiently integrate the WUM process with the ordinary Web server functionalities. It can provide useful information to make the user's Web navigation easier and to optimize the Web server's performance. Two quantities are introduced in order to give a measure of the quality of our WUM system.\",\"PeriodicalId\":115190,\"journal\":{\"name\":\"Proceedings. International Conference on Information Technology: Coding and Computing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Information Technology: Coding and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2002.1000401\",\"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. International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2002.1000401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
During their navigation, Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Sophisticated data mining processes are needed for this knowledge to be extracted, understood and used. In this paper, we propose a Web usage mining (WUM) system, called SUGGEST, which dynamically generates suggested links to Web pages of potential interest for a user. SUGGEST is designed to efficiently integrate the WUM process with the ordinary Web server functionalities. It can provide useful information to make the user's Web navigation easier and to optimize the Web server's performance. Two quantities are introduced in order to give a measure of the quality of our WUM system.
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