Invention Grant
- Patent Title: Systems and methods for slate optimization with recurrent neural networks
-
Application No.: US16417148Application Date: 2019-05-20
-
Publication No.: US10592777B2Publication Date: 2020-03-17
- Inventor: Ofer Pinhas Meshi , Irwan Bello , Sayali Satish Kulkarni , Sagar Jain
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, PA
- Main IPC: G06K9/62
- 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.
Public/Granted literature
- US20190354796A1 Systems and Methods for Slate Optimization with Recurrent Neural Networks Public/Granted day:2019-11-21
Information query