Personalities Mining of Community Users Based on the Ontology Semantic Analysis

Wei Yu, T. Xiong
{"title":"Personalities Mining of Community Users Based on the Ontology Semantic Analysis","authors":"Wei Yu, T. Xiong","doi":"10.1109/IBICA.2011.100","DOIUrl":null,"url":null,"abstract":"Community marketing,whose core of precision marketing, is pushingthe advertisement to the users who really need it.In this article, through building the feature model and interest model of users , we use ontology analysis and semantic mining to analyse  behavior  characteristics,statement and comments,concerned content etc,and finally dynamically build the  real feature attribut and interest set of community users. In addition, we use reasoning under uncertainty to deduce users' feature and interest. Our experiment demonstrate that this method peformance good accuracy on users' feature attribute and interest set.","PeriodicalId":158080,"journal":{"name":"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBICA.2011.100","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

Community marketing,whose core of precision marketing, is pushingthe advertisement to the users who really need it.In this article, through building the feature model and interest model of users , we use ontology analysis and semantic mining to analyse  behavior  characteristics,statement and comments,concerned content etc,and finally dynamically build the  real feature attribut and interest set of community users. In addition, we use reasoning under uncertainty to deduce users' feature and interest. Our experiment demonstrate that this method peformance good accuracy on users' feature attribute and interest set.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于本体语义分析的社区用户个性挖掘
社区营销是精准营销的核心,是将广告推送给真正需要的用户。本文通过建立用户的特征模型和兴趣模型,利用本体分析和语义挖掘对社区用户的行为特征、陈述和评论、关注内容等进行分析,最终动态构建社区用户的真实特征属性和兴趣集。此外,我们使用不确定推理来推断用户的特征和兴趣。实验表明,该方法对用户的特征属性和兴趣集具有较好的准确性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fighting Detection Based on Optical Flow Context Histogram Some Researches for Lorenz-Based Secure Communication in Time and Frequency Domains A Cognitive Model to Mimic an Aspect of Low Level Perception of Sound: Modelling Reverberation Perception by Statistical Signal Analysis The Sustained Exhilarating Cardiac Responses after Listening to the Very Fast and Complex Rhythm Smart Classroom Roll Caller System with IOT Architecture
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1