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公开(公告)号：US11222364B2
公开(公告)日：2022-01-11
申请号：US16983637
申请日：2020-08-03
Applicant: Google LLC
Inventor： Dong Lin , Shankar R. Ponnekanti
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.
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公开(公告)号：US10217132B1
公开(公告)日：2019-02-26
申请号：US14864380
申请日：2015-09-24
Applicant: Google LLC
Inventor： Nicholas Johnson , Dong Lin , Shankar R. Ponnekanti
Abstract: A computerized method and apparatus for evaluating content on a computer network. The method includes obtaining a quality score of content configured for display with a web page, wherein the quality score is based at least in part on keywords associated with the content and either a search query or metadata associated with the web page. The method also includes identifying a user metric of a computing device associated with the search query or the metadata. The method further includes generating an adjusted quality score of the content based on the quality score and the user metric. The method also includes selecting a parameter for an auction based on the adjusted quality score, wherein the parameter indicates a relation between a bid value based auction and a content quality based auction.
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公开(公告)号：US20180075491A1
公开(公告)日：2018-03-15
申请号：US15816680
申请日：2017-11-17
Applicant: Google LLC
Inventor： Dong Lin , Shankar R. Ponnekanti
CPC classification number: G06Q30/0269 , G06Q30/0255 , G06Q30/0271 , H04L29/08072 , H04L69/329
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.
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Patent Agency Ranking
公开(公告)号：US11645677B2
公开(公告)日：2023-05-09
申请号：US17111127
申请日：2020-12-03
Applicant: Google LLC
Inventor： Dong Lin , Shankar R. Ponnekanti
IPC: G06F15/16 , G06Q30/0251 , H04L69/329
CPC classification number: G06Q30/0269 , G06Q30/0255 , G06Q30/0271 , H04L69/329
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.
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公开(公告)号：US20210090129A1
公开(公告)日：2021-03-25
申请号：US17111127
申请日：2020-12-03
Applicant: Google LLC
Inventor： Dong Lin , Shankar R. Ponnekanti
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.
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公开(公告)号：US10769673B2
公开(公告)日：2020-09-08
申请号：US15816680
申请日：2017-11-17
Applicant: Google LLC
Inventor： Dong Lin , Shankar R. Ponnekanti
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.
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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.
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公开(公告)号：US20210133565A1
公开(公告)日：2021-05-06
申请号：US16902547
申请日：2020-06-16
Applicant: Google LLC
Inventor： Gil Shamir , Dong Lin , Sergey Ioffe
Abstract: Aspects of the present disclosure are directed to novel activation functions which enable improved reproducibility and accuracy tradeoffs in neural networks. In particular, the present disclosure provides a family of activation functions that, on one hand, are smooth with continuous gradient and optionally monotonic but, on the other hand, also mimic the mathematical behavior of a Rectified Linear Unit (ReLU). As examples, the activation functions described herein include a smooth rectified linear unit function and also a leaky version of such function. In various implementations, the proposed functions can provide both a complete stop region and a constant positive gradient (e.g., that can be 1) pass region like a ReLU, thereby matching accuracy performance of a ReLU. Additional implementations include a leaky version and/or functions that feature different constant gradients in the pass region.
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