公开(公告)号：US12141618B1

公开(公告)日：2024-11-12

申请号：US17512002

申请日：2021-10-27

Applicant: Amazon Technologies, Inc.

Inventor： Philip Mark Kaminsky ,  Mohammadmohsen Moarefdoost ,  Priyanka Prakash Mhatre ,  Dorothy Mary Watts ,  Ruchit Aswin Shah ,  Ankur Gupta ,  Subhadeep Gupta ,  Vishal Verma ,  Niels Krohn

IPC: G06F9/50 ,  G06F16/9035 ,  G06F16/9038

Abstract: A computer system may provide a plurality of load records for presentation in a user interface provided at a first plurality of user devices. The user interface may enable searching for a plurality of loads represented by the plurality of load records. The computer system may also determine, for a load record of the plurality of load records and based at least in part on inputting contextual information into a predictive model, an acceptance prediction indicating a probability that a load record of the plurality of load records will be accepted by a user. The computer system may also provide at least a portion of the plurality of load records for presentation in the user interface provided at a second plurality of user devices associated with a second plurality of users. The portion of the plurality of load records may include the load record including an updated value of an attribute of the load record that is dependent on the acceptance prediction.

公开(公告)号：US11822885B1

公开(公告)日：2023-11-21

申请号：US16429752

申请日：2019-06-03

Applicant: Amazon Technologies, Inc.

Inventor： Arunachalam Sundararaman ,  Mukul Aggarwal ,  Rajesh Ravindran Nandyaleth ,  Ankur Gupta ,  Dilip Sridhar

IPC: G06F40/279 ,  G06F16/33

CPC classification number: G06F40/279 ,  G06F16/3344

Abstract: Systems and methods for contextual natural language censoring are disclosed. For example, configuration data indicating details associated with content provided by a client device and/or about the client device may be received and may be utilized to determine impermissible and permissible exceptions for a given client. One or more queries may be generated utilizing the impermissible and permissible exceptions, and when input data is received from the client device and/or in association with the client identifier, the queries may be utilized to evaluate the input data for impermissible and permissible exceptions. The results may be filtered based on user preferences, the input data may be censored, the input data may be prevented from being exposed to a user device, the application associated with the input data may be removed from availability, and/or a maturity setting may be changed for the application, for example.