公开(公告)号：US11475002B1

公开(公告)日：2022-10-18

申请号：US16446279

申请日：2019-06-19

Applicant: Amazon Technologies, Inc.

Inventor： Srinivasan Sundar Raghavan ,  Daniel Micol-Ponce ,  Noelia Moron ,  Hersh Nagar ,  Jaime Vallori ,  Vamsi Krishna Vutukuru

IPC: G06F16/00 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/2455

Abstract: Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.

公开(公告)号：US11423451B1

公开(公告)日：2022-08-23

申请号：US16573939

申请日：2019-09-17

Applicant: Amazon Technologies, Inc.

Inventor： Vijay Chaudhari ,  Hersh Nagar ,  Douglas Scott Cerny ,  Stephanie Weeks ,  Srinivasan Sundar Raghavan ,  Vijaya Prasad Reddy Avula

IPC: G06Q30/00 ,  G06Q30/06 ,  G06N20/00 ,  G06F16/638

Abstract: Devices and techniques are generally described for a speech processing procurement system. In various examples, recommendations may be provided by back-end systems. The recommendations may be ranked by a machine learning model, and may be sorted and filtered for a particular output device. Various voice guidance workflows may be invoked through user interaction with a speech processing procurement system. The workflows may be used to surface pre-recorded voice memos and/or to determine recommendations based on dynamically updated procurement policies.