The research on user interest model based on quantization browsing behavior

Y. Qinghong, Hu Hao, Xiong Neng
{"title":"The research on user interest model based on quantization browsing behavior","authors":"Y. Qinghong, Hu Hao, Xiong Neng","doi":"10.1109/ICCSE.2012.6295024","DOIUrl":null,"url":null,"abstract":"The constructing and updating of user interest model, determines the accuracy of the user information representation, and directly influences the service quality for the users. This paper will show you by introducing some browsing action data into user interest model updating strategy, carrying on the experiment by using the designed system, and obtaining the reasonable values of browsing behavior parameters with an adaptive method. In the end, a demonstration is given to compare with common model through the experiment and prove the feasibility and suitability of this model.","PeriodicalId":264063,"journal":{"name":"2012 7th International Conference on Computer Science & Education (ICCSE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th International Conference on Computer Science & Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2012.6295024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The constructing and updating of user interest model, determines the accuracy of the user information representation, and directly influences the service quality for the users. This paper will show you by introducing some browsing action data into user interest model updating strategy, carrying on the experiment by using the designed system, and obtaining the reasonable values of browsing behavior parameters with an adaptive method. In the end, a demonstration is given to compare with common model through the experiment and prove the feasibility and suitability of this model.
基于量化浏览行为的用户兴趣模型研究
用户兴趣模型的构建与更新,决定了用户信息表达的准确性,直接影响到为用户提供的服务质量。本文将通过将一些浏览行为数据引入用户兴趣模型更新策略,利用设计的系统进行实验,并采用自适应方法获得浏览行为参数的合理值。最后,通过实验与常用模型进行了对比论证,证明了该模型的可行性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信