发明名称 SPAM FLOOD DETECTION METHODOLOGIES
摘要 A computer-implemented method and system are provided in which characteristics of a website are analyzed to determine whether the website represents a potential source of spam content. The analysis can include generating a characterizing signature of a webpage containing a content item, and obtaining an occurrence count for the generated characterizing signature. The characterizing signature is derived from formatting data of the webpage. When the obtained occurrence count is greater than a threshold count, the content item can be identified as spam content, and flagged as spam content.
申请公布号 US2017026268(A1) 申请公布日期 2017.01.26
申请号 US201615285103 申请日期 2016.10.04
申请人 salesforce.com, inc. 发明人 Doan Dai Duong
分类号 H04L12/26;G06F17/30;H04L12/58;H04L29/06 主分类号 H04L12/26
代理机构 代理人
主权项 1. A computer-implemented method comprising: analyzing characteristics of a website to determine whether the website represents a potential source of spam content, wherein the analyzing comprises: generating a characterizing signature of a webpage containing a content item, wherein the characterizing signature is derived from formatting data of the webpage;obtaining an occurrence count for the generated characterizing signature; andwhen the obtained occurrence count is greater than a threshold count, identifying the content item as spam content; and flagging the content item of the website as spam content.
地址 San Francisco CA US