{"title":"Notice of RetractionPersonalized user's interest model study based on semantic relation tree","authors":"Lin Yanfen, Wu Jiang","doi":"10.1109/ICCET.2010.5485625","DOIUrl":null,"url":null,"abstract":"In order to improve the level of personalized service and enhance accuracy of search, it is necessary to build user model in e-learning system.This paper provided a user model expressed semantic relation tree. Algorithms for the vector space model and the least frequently used(LRU) introduced into the model were used to periodically update the co-adjustment model.Using the established model can effectively improve search accuracy,and the model can effectively support personalized service.The simulation test showed this model was effective.","PeriodicalId":271757,"journal":{"name":"2010 2nd International Conference on Computer Engineering and Technology","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Computer Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCET.2010.5485625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to improve the level of personalized service and enhance accuracy of search, it is necessary to build user model in e-learning system.This paper provided a user model expressed semantic relation tree. Algorithms for the vector space model and the least frequently used(LRU) introduced into the model were used to periodically update the co-adjustment model.Using the established model can effectively improve search accuracy,and the model can effectively support personalized service.The simulation test showed this model was effective.