公开(公告)号：US12106146B2

公开(公告)日：2024-10-01

申请号：US17382973

申请日：2021-07-22

Applicant: Google LLC

Inventor： Kun Qiu ,  Seiji Charles Armstrong ,  Theodore R. Pindred ,  Rui Zhong ,  Maxwell Corbin ,  Allan Martucci ,  Aditya Padala ,  Dayu Yuan ,  Ngoc Thuy Le

IPC: G06F9/50 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06F9/50 ,  G06F9/5027 ,  G06N5/04 ,  G06N20/00

Abstract: The disclosure is directed to systems, methods, and apparatus, including non-transitory computer-readable media, for performing quota resolution on a cloud computing platform. A system can receive user account data from one or more user accounts representing a first user. The system can generate a plurality of features from the user account data characterizing interactions between the first user and the computing platform. From at least the plurality of features, the system can generate a score at least partially representing a predicted likelihood that the additional computing resources allocated to the first user account will be used in violation of one or more predetermined abusive usage parameters during a predetermined future time period.

公开(公告)号：US20230206255A1

公开(公告)日：2023-06-29

申请号：US17646142

申请日：2021-12-27

Applicant: Google LLC

Inventor： Rui Zhong ,  Xu Gao ,  Colleen Conway Walsh ,  Aditya Padala ,  Hirak Mondal ,  Dayu Yuan ,  Ngoc Thuy Le ,  Zi Yang ,  Pradhat Kiran Bharathidhasan ,  Sarath Balasubramaniam Ramachandran

IPC: G06Q30/02 ,  G06F40/30 ,  G06N20/00

CPC classification number: G06Q30/0201 ,  G06F40/30 ,  G06N20/00

Abstract: A method for predicting a customer trust target metric includes receiving, from a business, a customer trust target metric definition defining a customer trust target metric customized by the business. The method also includes obtaining sentiment data representative of one or more interactions between a customer and the business. The sentiment data includes textual feedback data and non-textual metadata. The method also includes determining, using a natural language processing model, a sentiment score of the sentiment data. Further, the method includes predicting, using the sentiment score and the customer trust target metric definition, a respective customer trust target metric for a respective one of the one or more interactions between the customer and the business. The method also includes sending, to the business, the predicted respective customer trust target metric.

公开(公告)号：US20220129318A1

公开(公告)日：2022-04-28

申请号：US17382973

申请日：2021-07-22

Applicant: Google LLC

Inventor： Kun Qiu ,  Seiji Charles Armstrong ,  Theodore R. Pindred ,  Rui Zhong ,  Maxwell Corbin ,  Allan Martucci ,  Aditya Padala ,  Dayu Yuan ,  Ngoc Thuy Le

IPC: G06F9/50

Abstract: The disclosure is directed to systems, methods, and apparatus, including non-transitory computer-readable media, for performing quota resolution on a cloud computing platform. A system can receive user account data from one or more user accounts representing a first user. The system can generate a plurality of features from the user account data characterizing interactions between the first user and the computing platform. From at least the plurality of features, the system can generate a score at least partially representing a predicted likelihood that the additional computing resources allocated to the first user account will be used in violation of one or more predetermined abusive usage parameters during a predetermined future time period.

公开(公告)号：US10460229B1

公开(公告)日：2019-10-29

申请号：US15464053

申请日：2017-03-20

Applicant: Google LLC

Inventor： Dayu Yuan ,  Ryan P. Doherty ,  Colin Hearne Evans ,  Julian David Christian Richardson ,  Eric E. Altendorf

IPC: G06F17/00 ,  G06N3/04 ,  G06F17/27

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for disambiguating word sense. One of the methods includes maintaining a respective word sense numeric representation of each of a plurality of word senses of a particular word; receiving a request to determine the word sense of the particular word when included in a particular text sequence, the particular text sequence comprising one or more context words and the particular word; determining a context numeric representation of the context words in the particular text sequence; and selecting a word sense of the plurality of word senses having a word sense numeric representation that is closest to the context numeric representation as the word sense of the particular word when included in the particular text sequence.