公开(公告)号：US10104029B1

公开(公告)日：2018-10-16

申请号：US13673286

申请日：2012-11-09

申请人： Charles Wade Chambers ,  Martin Traverso ,  Dain Sidney Sundstrom ,  David Andrew Phillips ,  David Eric Hagar ,  Mark Erol Kent

发明人： Charles Wade Chambers ,  Martin Traverso ,  Dain Sidney Sundstrom ,  David Andrew Phillips ,  David Eric Hagar ,  Mark Erol Kent

IPC分类号： G06F15/16 ,  H04L12/58

摘要： A method for filtering unsolicited emails may comprise dynamically aggregating historical email data associated with a user or a group of users and dynamically determining one or more trusted trends criteria associated with the historical email data. The method may further comprise receiving a new email addressed to the user or the group of users, calculating a score associated with the new email based on the one or more trusted trends criteria, determining that the score is above a predetermined threshold score, and, based on the determination, selectively filtering the new email.

公开(公告)号：US20130325991A1

公开(公告)日：2013-12-05

申请号：US13962823

申请日：2013-08-08

申请人： Charles Wade Chambers ,  Martin Traverso ,  Dain Sundstrom ,  David Andrew Phillips ,  David Eric Hagar ,  Mark Erol Kent

发明人： Charles Wade Chambers ,  Martin Traverso ,  Dain Sundstrom ,  David Andrew Phillips ,  David Eric Hagar ,  Mark Erol Kent

IPC分类号： H04L12/58

CPC分类号： H04L51/12

摘要： A method for filtering unsolicited emails may comprise dynamically aggregating historical email data associated with a user or a group of users and dynamically determining one or more trusted trends criteria associated with the historical email data. The method may further comprise receiving a new email addressed to the user or the group of users, calculating a score associated with the new email based on the one or more trusted trends criteria, determining that the score is above a predetermined threshold score, and, based on the determination, selectively filtering the new email.

摘要翻译： 用于过滤未经请求的电子邮件的方法可以包括动态地聚合与用户或一组用户相关联的历史电子邮件数据，并动态地确定与历史电子邮件数据相关联的一个或多个可信趋势标准。 该方法可以进一步包括接收寻址给用户或用户组的新电子邮件，基于一个或多个可信趋势标准来计算与新电子邮件相关联的得分，确定得分高于预定阈值分数， 基于确定，选择性地过滤新的电子邮件。