Filtering unwanted messages from OSN walls

Priyanka Salunkhe, Smita Bharne, Puja Padiya
{"title":"Filtering unwanted messages from OSN walls","authors":"Priyanka Salunkhe, Smita Bharne, Puja Padiya","doi":"10.1109/ICICCS.2016.7542319","DOIUrl":null,"url":null,"abstract":"Online Social Networking sites (OSNs) helps to connect people easily. There are various online social sites that are available like Facebook, Twitter etc. which brought world closer. In OSN, user creates an account on social sites after which they are able to perform various actions like adding friends, sharing videos and images. OSN sites provide some space or area to post the status such a space is called Wall. But sometimes people post offensive messages on a particulars wall which may cause a serious problem to user's reputation. To avoid such kind of serious problem we can apply Information Filtering (IF) technique. Information filtering can be used for formless data in contrast to database application in which data required is in ordered manner. There are various types of Information Filtering methods namely Content-based filtering method, Policy-based filtering method and Collaboration filtering method. This paper focuses on analyzing methodology Information Filtering on social networks.","PeriodicalId":389065,"journal":{"name":"2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCS.2016.7542319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Online Social Networking sites (OSNs) helps to connect people easily. There are various online social sites that are available like Facebook, Twitter etc. which brought world closer. In OSN, user creates an account on social sites after which they are able to perform various actions like adding friends, sharing videos and images. OSN sites provide some space or area to post the status such a space is called Wall. But sometimes people post offensive messages on a particulars wall which may cause a serious problem to user's reputation. To avoid such kind of serious problem we can apply Information Filtering (IF) technique. Information filtering can be used for formless data in contrast to database application in which data required is in ordered manner. There are various types of Information Filtering methods namely Content-based filtering method, Policy-based filtering method and Collaboration filtering method. This paper focuses on analyzing methodology Information Filtering on social networks.
过滤OSN墙上不想要的消息
在线社交网站(osn)帮助人们轻松地联系起来。有各种各样的在线社交网站,如Facebook, Twitter等,它们拉近了世界的距离。在OSN中,用户在社交网站上创建一个帐户,之后他们可以执行各种操作,如添加朋友,分享视频和图像。OSN站点提供一些空间或区域来发布状态,这种空间称为墙。但有时人们会在专题墙上发布冒犯性的信息,这可能会对用户的声誉造成严重的问题。为了避免这种严重的问题,我们可以采用信息过滤技术。信息过滤可以用于无形式的数据,而数据库应用程序中需要的数据是有序的。信息过滤方法有多种类型,即基于内容的过滤方法、基于策略的过滤方法和协作过滤方法。本文主要研究社交网络信息过滤的分析方法。
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:481959085
Book学术官方微信