-
公开(公告)号：US11989755B1
公开(公告)日：2024-05-21
申请号：US17816561
申请日：2022-08-01
Applicant: Google LLC
Inventor： Gaofeng Zhao , Yingwei Cui , Hui Tan , Bahman Rabii , Wei Chai
IPC: G06Q30/0241 , G06F40/14 , G06Q30/0242
CPC classification number: G06Q30/0249 , G06F40/14 , G06Q30/0242
Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
-
公开(公告)号：US10943259B1
公开(公告)日：2021-03-09
申请号：US16388953
申请日：2019-04-19
Applicant: Google LLC
Inventor： Gaofeng Zhao , Yingwei Cui , Hui Tan , Bahman Rabii , Wei Chai
Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
-
公开(公告)号：US20200372359A1
公开(公告)日：2020-11-26
申请号：US16991258
申请日：2020-08-12
Applicant: Google LLC
Inventor： Tal Shaked , Rohan Anil , Hrishikesh Balkrishna Aradhye , Mustafa Ispir , Glen Anderson , Wei Chai , Mehmet Levent Koc , Jeremiah Joseph Harmsen , Xiaobing Liu , Gregory Sean Corrado , Tushar Deepak Chandra , Heng-Tze Cheng
Abstract: A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output.
-
公开(公告)号：US10311472B1
公开(公告)日：2019-06-04
申请号：US15432083
申请日：2017-02-14
Applicant: Google LLC
Inventor： Gaofeng Zhao , Yingwei Cui , Hui Tan , Bahman Rabii , Wei Chai
Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
-
公开(公告)号：US12093675B2
公开(公告)日：2024-09-17
申请号：US17053732
申请日：2018-08-21
Applicant: Google LLC
Inventor： Wei Chai , Pannag Sanketi , Ibrahim Elbouchikhi , Sachin Kotwani , Wesley Robert Tarle
Abstract: Provided is an application development platform and associated software development kits (“SDKs”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.
-
Patent Agency Ranking
公开(公告)号：US11430003B1
公开(公告)日：2022-08-30
申请号：US17166573
申请日：2021-02-03
Applicant: Google LLC
Inventor： Gaofeng Zhao , Yingwei Cui , Hui Tan , Bahman Rabii , Wei Chai
Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
-
公开(公告)号：US20240403031A1
公开(公告)日：2024-12-05
申请号：US18807689
申请日：2024-08-16
Applicant: Google LLC
Inventor： Wei Chai , Pannag Sanketi , Ibrahim Elbouchikhi , Sachin Kotwani , Wesley Robert Tarle
Abstract: The present disclosure provides an application development platform and associated software development kits (“SDKs”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.
-
公开(公告)号：US20220091837A1
公开(公告)日：2022-03-24
申请号：US17053732
申请日：2018-08-21
Applicant: Google LLC
Inventor： Wei Chai , Pannag Sanketi , Ibrahim Elbouchikhi , Sachin Kotwani , Wesley Robert Tarle
Abstract: The present disclosure provides an application development platform and associated software development kits (“SDKs”) that provide comprehensive services for generation, deployment, and management of machine-learned models used by computer applications such as, for example, mobile applications executed by a mobile computing device. In particular, the application development platform and SDKs can provide or otherwise leverage a unified, cross-platform application programming interface (“API”) that enables access to all of the different machine learning services needed for full machine learning functionality within the application. In such fashion, developers can have access to a single SDK for all machine learning services.
-
公开(公告)号：US10762422B2
公开(公告)日：2020-09-01
申请号：US15394668
申请日：2016-12-29
Applicant: Google LLC
Inventor： Tal Shaked , Rohan Anil , Hrishikesh Balkrishna Aradhye , Mustafa Ispir , Glen Anderson , Wei Chai , Mehmet Levent Koc , Jeremiah Harmsen , Xiaobing Liu , Gregory Sean Corrado , Tushar Deepak Chandra , Heng-Tze Cheng
Abstract: A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output.
-
10.发明授权公开(公告)号：US10474688B2
公开(公告)日：2019-11-12
申请号：US15727384
申请日：2017-10-06
Applicant: Google LLC
Inventor： Huazhong Ning , Wei Chai , Hrishikesh Aradhye
IPC: G06F17/30 , G06F16/2457 , G06N7/00 , G06F16/954
Abstract: A system and method of recommending a bundle of content items to a user, including storing a plurality of content items in a computer system, determining a respective co-selection score for each pair of content items among the plurality of content items, the co-selection score indicating a probability that a given pair of content items among the plurality of content items will both be downloaded by a user of the computer system, and outputting, to a first user, a plurality of content items comprising a sub-set of the plurality of content items.
-
-
-
-
-
-
-
-
-
Search Results
10
records
(took 0.014 seconds)
