公开(公告)号：US12086211B2

公开(公告)日：2024-09-10

申请号：US18167297

申请日：2023-02-10

Applicant: Google LLC

Inventor： Xuerui Wang ,  Daniel Li ,  Xiaodan Song ,  Jie Han ,  Rahul Sharma

IPC: G06F18/23211 ,  G06F16/215 ,  G06F16/906 ,  G06F18/23213

CPC classification number: G06F18/23211 ,  G06F16/215 ,  G06F16/906 ,  G06F18/23213

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

公开(公告)号：US11580170B2

公开(公告)日：2023-02-14

申请号：US16670809

申请日：2019-10-31

Applicant: Google LLC

Inventor： Xuerui Wang ,  Daniel Li ,  Xiaodan Song ,  Jie Han ,  Rahul Sharma

IPC: G06F16/906 ,  G06F16/215 ,  G06K9/62

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.

公开(公告)号：US20250005656A1

公开(公告)日：2025-01-02

申请号：US18658397

申请日：2024-05-08

Applicant: Google LLC

Inventor： Alexander Kerelsky ,  Sergiu Ion Goschin ,  Dong Lin ,  Jie Han

IPC: G06Q30/08

Abstract: This technology generally relates to a method for leveraging a measure of bidding model uncertainty to directly improve automatic bidding. The methods may include measuring the inherent uncertainty of automatic bidding models using techniques, such as quantile regression. Further, the measure of bidding model uncertainty may be incorporated into bid formulas to inform the generated bids for an auction. The method may be further formulated to modify the bids to be more conservative when the bidding model uncertainty is higher. Once the uncertainty level of the bidding model is reduced to a more stable level, the bidding method will resume generating bids with more efficiency.

公开(公告)号：US20230267176A1

公开(公告)日：2023-08-24

申请号：US18167297

申请日：2023-02-10

Applicant: Google LLC

Inventor： Xuerui Wang ,  Daniel Li ,  Xiaodan Song ,  Jie Han ,  Rahul Sharma

IPC: G06F18/23211 ,  G06F16/906 ,  G06F16/215 ,  G06F18/23213

CPC classification number: G06F18/23211 ,  G06F16/906 ,  G06F16/215 ,  G06F18/23213

Abstract: Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.