公开(公告)号：US11443347B2

公开(公告)日：2022-09-13

申请号：US17006495

申请日：2020-08-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xianshan Qu ,  Li Li ,  Xi Liu ,  Rui Chen ,  Yong Ge ,  Soo-Hyun Choi

IPC: G06Q30/00 ,  G06Q30/02 ,  G06N3/08

Abstract: A system and method capable of learning dynamic user and advertisement behavior for more effective click-through rate prediction. The system and method include at least one processor configured to obtain at least one item data, wherein the at least one item data comprises at least one explicit feedback to a user interaction event and other data associated with an item. The at least one processor also uses an interaction model that incorporates the obtained at least one item data to generate a user response prediction for a user and another interaction event.

公开(公告)号：US20210065251A1

公开(公告)日：2021-03-04

申请号：US17006495

申请日：2020-08-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xianshan Qu ,  Li Li ,  Xi Liu ,  Rui Chen ,  Yong Ge ,  Soo-Hyun Choi

IPC: G06Q30/02 ,  G06N3/08

Abstract: A system and method capable of learning dynamic user and advertisement behavior for more effective click-through rate prediction. The system and method include at least one processor configured to obtain at least one item data, wherein the at least one item data comprises at least one explicit feedback to a user interaction event and other data associated with an item. The at least one processor also uses an interaction model that incorporates the obtained at least one item data to generate a user response prediction for a user and another interaction event