基于语义关系树的个性化用户兴趣模型研究

Lin Yanfen, Wu Jiang
{"title":"基于语义关系树的个性化用户兴趣模型研究","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":"{\"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}","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

摘要

为了提高个性化服务水平,提高搜索的准确性,有必要在电子学习系统中建立用户模型。提出了一种表达语义关系树的用户模型。采用向量空间模型算法和引入最小使用频率(LRU)算法对共平差模型进行周期性更新。利用所建立的模型可以有效地提高搜索精度,并且该模型可以有效地支持个性化服务。仿真试验表明,该模型是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notice of RetractionPersonalized user's interest model study based on semantic relation tree
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信