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  • 标题:An Approach towards Removal of Undesirable Messages From Social Networks
  • 本地全文:下载
  • 作者:V.Laxmi Narasamma ; Shaik Naga Rehmathunnisa
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:35-37
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:These days, social networking websites includes greatly extended the range of possible communications, permits us to distribute messages, pictures, and files and yet up to date information. The online social networks are generally supportive, and hold up social relations both online and offline, when the users are using them their information may be available to the people who want to mishandle it. The filtering rules develop user profiles, relationships of user in addition to the output of the process of machine learning categorization to position the filtering standard to be imposed. In content-based filtering, each user is supposed to function independently and as a result, the system of content-based filtering selects information items on the basis of the correlation connecting the items content and the preferences of the user. The architecture in support of services of online social networks is a structure of three-tier. The system makes available the maintenance intended for black lists of user-defined, specifically lists of users that are for the short term prevented to situate any category of messages on the wall of user.
  • 关键词:Content-Based Filtering;Black Lists;Filtering;Online Social Networks
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