{"title":"网络用户行为分析","authors":"Wei Liu, D. Huang, Leyuan Zhang","doi":"10.1109/YCICT.2010.5713061","DOIUrl":null,"url":null,"abstract":"For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model of analysing network user behavior based on context-aware is designed. All above has provided an effective technical way for discovering the characteristic and changing law of the network user interest.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analysis of network user behavior\",\"authors\":\"Wei Liu, D. Huang, Leyuan Zhang\",\"doi\":\"10.1109/YCICT.2010.5713061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model of analysing network user behavior based on context-aware is designed. All above has provided an effective technical way for discovering the characteristic and changing law of the network user interest.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model of analysing network user behavior based on context-aware is designed. All above has provided an effective technical way for discovering the characteristic and changing law of the network user interest.