公开(公告)号：US10592777B2

公开(公告)日：2020-03-17

申请号：US16417148

申请日：2019-05-20

Applicant: Google LLC

Inventor： Ofer Pinhas Meshi ,  Irwan Bello ,  Sayali Satish Kulkarni ,  Sagar Jain

IPC: G06K9/62 ,  G06N3/04 ,  G06N20/00 ,  G06F17/18 ,  G06Q30/02

Abstract: Systems and methods for generating a slate of ranked items are provided. In one example embodiment, a computer-implemented method includes inputting a sequence of candidate items into a machine-learned model, and obtaining, in response to inputting the sequence of candidate items into the machine-learned model, an output of the machine-learned model that includes a ranking of the candidate items that presents a diverse set of the candidate items at the top positions in the ranking such that one or more highly relevant candidate items can be demoted in the ranking.

公开(公告)号：US20190354796A1

公开(公告)日：2019-11-21

申请号：US16417148

申请日：2019-05-20

Applicant: Google LLC

Inventor： Ofer Pinhas Meshi ,  Irwan Bello ,  Sayali Satish Kulkarni ,  Sagar Jain

IPC: G06K9/62 ,  G06N3/04 ,  G06N20/00 ,  G06F17/18

Abstract: Systems and methods for generating a slate of ranked items are provided. In one example embodiment, a computer-implemented method includes inputting a sequence of candidate items into a machine-learned model, and obtaining, in response to inputting the sequence of candidate items into the machine-learned model, an output of the machine-learned model that includes a ranking of the candidate items that presents a diverse set of the candidate items at the top positions in the ranking such that one or more highly relevant candidate items can be demoted in the ranking.