公开(公告)号：US10778618B2

公开(公告)日：2020-09-15

申请号：US14150788

申请日：2014-01-09

Applicant: OATH INC.

Inventor： Zohar Karnin ,  Guy Halawi ,  David Wajc ,  Edo Liberty

IPC: H04L12/58 ,  G06N20/00

Abstract: A computer system, computer program product, and computer-implemented method for communicating electronic messages over a communication network coupled thereto are provided. The computer system comprises a network interface for receiving messages sent over the network and addressed to a user of the computer system; and computer executable electronic message processing software. The software comprises instructions for directing the computer system to receive a message over the network, and to identify whether a sender of the received electronic message is a human or a machine. The identifying includes first and second phases of operation. The first phase includes an offline phase employing information and activities resident on the computer system. The second phase includes an online phase employing resources remotely accessible over the network. The software further includes instructions for providing the user with the results of the identification as human or machine; and for performing automatic data extraction from the message if the message was identified to be from a machine.

公开(公告)号：US10374995B2

公开(公告)日：2019-08-06

申请号：US14755518

申请日：2015-06-30

Applicant: OATH INC.

Inventor： Liane Lewin-Eytan ,  Guy Halawi ,  Dotan Di Castro ,  Zohar Karnin ,  Yoelle Maarek ,  Michael Albers

IPC: H04L12/58

Abstract: As is disclosed herein, user behavior in connection with a number of electronic messages, such as electronic mail (email) messages, can be used to automatically learn from, and predict, whether a message is wanted or unwanted by the user, where an unwanted message is referred to herein as gray spam. A gray spam predictor is personalized for a given user in vertical learning that uses the user's electronic message behavior and horizontal learning that uses other users' message behavior. The gray spam predictor can be used to predict whether a new message for the user is, or is not, gray spam. A confidence in a prediction may be used in determining the disposition of the message, such as and without limitation placing the message in a spam folder, a gray spam folder and/or requesting input from the user regarding the disposition of the message, for example.