公开(公告)号：US20170364823A1

公开(公告)日：2017-12-21

申请号：US15185581

申请日：2016-06-17

Applicant: Facebook, Inc.

Inventor： Aleksandar Ilic ,  Ariel Benjamin Evnine ,  Ashwin Murthy ,  Yiyu Li ,  Konstantine Oleksiyovich Kolomoyskyy ,  Florin Ratiu

IPC: G06N99/00 ,  G06Q50/00 ,  H04L12/58 ,  H04L29/08

Abstract: In one embodiment, a method includes sending, through a communications network, several volumes of notifications corresponding to a first notification type to multiple users and several volumes of notifications corresponding to a second notification type to multiple users. The method further determines visitation impacts of the volumes of notifications of the first and second notification types and trains a machine-learning model based on the visitation impacts. The machine-learning model generates an assessment of a likelihood of interaction by a recipient user with each of the notifications.

公开(公告)号：US10769548B2

公开(公告)日：2020-09-08

申请号：US15185581

申请日：2016-06-17

Applicant: Facebook, Inc.

Inventor： Aleksandar Ilic ,  Ariel Benjamin Evnine ,  Ashwin Murthy ,  Yiyu Li ,  Konstantine Oleksiyovich Kolomoyskyy ,  Florin Ratiu

IPC: G06N20/00 ,  H04L12/58 ,  H04L29/08 ,  G06Q50/00

Abstract: In one embodiment, a method includes sending, through a communications network, several volumes of notifications corresponding to a first notification type to multiple users and several volumes of notifications corresponding to a second notification type to multiple users. The method further determines visitation impacts of the volumes of notifications of the first and second notification types and trains a machine-learning model based on the visitation impacts. The machine-learning model generates an assessment of a likelihood of interaction by a recipient user with each of the notifications.