公开(公告)号：US11601703B2

公开(公告)日：2023-03-07

申请号：US15276605

申请日：2016-09-26

Applicant: Google LLC

Inventor： Li Wei ,  Kun Zhang ,  Yu He ,  Xinmei Cai

IPC: G06N5/04 ,  H04N21/482 ,  H04N21/2668 ,  G06F16/735 ,  H04N21/442 ,  H04N21/262 ,  G06N5/00

Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

公开(公告)号：US20210065066A1

公开(公告)日：2021-03-04

申请号：US17008338

申请日：2020-08-31

Applicant: Google LLC

Inventor： Yuan Xue ,  Dengyong Zhou ,  Nan Du ,  Andrew Mingbo Dai ,  Zhen Xu ,  Kun Zhang ,  Yingwei Cui

IPC: G06N20/20 ,  G06N3/02 ,  G06F17/18 ,  G06F17/16

Abstract: A deep state space generative model is augmented with intervention prediction. The state space model provides a principled way to capture the interactions among observations, interventions, critical event occurrences, true states, and associated uncertainty. The state space model can include a discrete-time hazard rate model that provides flexible fitting of general survival time distributions. The state space model can output a joint prediction of event risk, observation and intervention trajectories based on patterns in temporal progressions, and correlations between past measurements and interventions.

公开(公告)号：US20190235720A1

公开(公告)日：2019-08-01

申请号：US16379344

申请日：2019-04-09

Applicant: Google LLC

Inventor： Kun Zhang ,  Willa Angel Chen ,  Yingwei Cui ,  William Martin Halpin,, JR. ,  Bahman Rabii ,  Tobias Maurer

IPC: G06F3/0485 ,  G06F17/22

CPC classification number: G06F3/0485 ,  G06F16/9574 ,  G06F17/2247

Abstract: Method and systems for displaying content items on an information resource include identifying a supplemental content item to append to a DOM tree of the information resource and identifying a first content item displayed in a first container of the information resource. The methods also includes monitoring a position of a predetermined portion of the first content item relative to a viewport of the application and determining, responsive to monitoring the position of the predetermined portion of the first content item, that the first content item is visible within the viewport of the application. The method also includes appending the supplemental content item in a second container at a first position between the first container and an end of the information resource and displaying the supplemental content item within the viewport of the application responsive to detecting a scroll action towards the end of the information resource.

公开(公告)号：US12248673B2

公开(公告)日：2025-03-11

申请号：US16793926

申请日：2020-02-18

Applicant: Google LLC

Inventor： Tianjiu Yin ,  Kun Zhang

IPC: G06F3/0485 ,  G06F3/0483 ,  G06F3/04855 ,  G06F3/04886 ,  G06F9/451

Abstract: Systems and methods for attributing a scroll event are described herein. The system can provide, to a client device, an infinite scroll attribution script. The script can cause the client device to set a dimension of an inline frame, embedded with a content document, of an page to a dimension corresponding to a viewport of an application and determine, responsive to detecting a scroll event, that a first offset between a first content document end and a first viewport end is less than or equal to a first predetermined threshold. The script can further cause the client device to determine, responsive to detecting the scroll event, that a second offset between a second content document end and a second viewport end is greater than or equal to a second threshold and assign the scroll event to the inline frame responsive to the determinations of the first and second offsets.

公开(公告)号：US12217144B2

公开(公告)日：2025-02-04

申请号：US17008338

申请日：2020-08-31

Applicant: Google LLC

Inventor： Yuan Xue ,  Dengyong Zhou ,  Nan Du ,  Andrew Mingbo Dai ,  Zhen Xu ,  Kun Zhang ,  Yingwei Cui

IPC: G06N20/20 ,  G06F17/16 ,  G06F17/18 ,  G06N3/02

Abstract: A deep state space generative model is augmented with intervention prediction. The state space model provides a principled way to capture the interactions among observations, interventions, critical event occurrences, true states, and associated uncertainty. The state space model can include a discrete-time hazard rate model that provides flexible fitting of general survival time distributions. The state space model can output a joint prediction of event risk, observation and intervention trajectories based on patterns in temporal progressions, and correlations between past measurements and interventions.

公开(公告)号：US11935634B2

公开(公告)日：2024-03-19

申请号：US15690721

申请日：2017-08-30

Applicant: Google LLC

Inventor： Alexander Mossin ,  Alvin Rajkomar ,  Eyal Oren ,  James Wilson ,  James Wexler ,  Patrik Sundberg ,  Andrew Dai ,  Yingwei Cui ,  Gregory Corrado ,  Hector Yee ,  Jacob Marcus ,  Jeffrey Dean ,  Benjamin Irvine ,  Kai Chen ,  Kun Zhang ,  Michaela Hardt ,  Xiaomi Sun ,  Nissan Hajaj ,  Peter Junteng Liu ,  Quoc Le ,  Xiaobing Liu ,  Yi Zhang

IPC: G06N3/08 ,  G06N3/044 ,  G06N3/045 ,  G16H10/60 ,  G16H15/00 ,  G16H50/30 ,  G16H50/20

CPC classification number: G16H10/60 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G16H15/00 ,  G16H50/30 ,  G16H50/20

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

公开(公告)号：US20210157837A1

公开(公告)日：2021-05-27

申请号：US17163837

申请日：2021-02-01

Applicant: Google LLC

Inventor： Kun Zhang ,  Yu He ,  Cristos Jon Goodrow

IPC: G06F16/638 ,  G06F16/438

Abstract: This disclosure relates to adaptive recommendations for user-generated mediasets. A mediaset component provides for users to generate mediasets. A user-generated mediaset can include a user-generated playlist or a user-generated media channel. A monitoring component monitors consumption of media, e.g., by a consumer. A relatedness component determines a set of the user-generated mediasets that are related to the media consumed by the consumer. A recommendation component recommends a subset of the user-generated mediasets based on a set of criteria. A rights management component determines a set of authorizations of the consumer for respective media content associated with the set of user-generated mediasets, and takes at least one action based on the set of authorizations, e.g., updating one of the mediasets based on the set of authorizations.

公开(公告)号：US11410756B2

公开(公告)日：2022-08-09

申请号：US15690714

申请日：2017-08-30

Applicant: Google LLC

Inventor： Eyal Oren ,  Yingwei Cui ,  Gerardo Flores ,  Gavin Duggan ,  Kun Zhang ,  Kurt Litsch ,  Patrik Sundberg ,  Yi Zhang

IPC: G16H50/30 ,  G16H50/20 ,  G16H10/60 ,  G06N3/08 ,  G16H15/00 ,  G06N3/04

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

公开(公告)号：US20230334306A1

公开(公告)日：2023-10-19

申请号：US16794087

申请日：2020-02-18

Applicant: Google LLC

Inventor： Kun Zhang ,  Andrew M. Dai ,  Yuan Xue ,  Alvin Rishi Rajkomar ,  Gerardo Flores

IPC: G16H10/60 ,  G06N3/08

CPC classification number: G06N3/08 ,  G16H10/60

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting future patient health using a recurrent neural network. In particular, at each time step, a network input for the time step is processed using a recurrent neural network to update a hidden state of the recurrent neural network. Specifically, the hidden state of the recurrent neural network is partitioned into a plurality of partitions and the plurality of partitions comprises a respective partition for each of a plurality of possible observational features.

公开(公告)号：US10909172B2

公开(公告)日：2021-02-02

申请号：US15599868

申请日：2017-05-19

Applicant: Google LLC

Inventor： Kun Zhang ,  Yu He ,  Cristos Jon Goodrow

IPC: G06F16/00 ,  G06F16/638 ,  G06F16/438 ,  G06F16/30

Abstract: This disclosure relates to adaptive recommendations for user-generated mediasets. A mediaset component provides for users to generate mediasets. A user-generated mediaset can include a user-generated playlist or a user-generated media channel. A monitoring component monitors consumption of media, e.g., by a consumer. A relatedness component determines a set of the user-generated mediasets that are related to the media consumed by the consumer. A recommendation component recommends a subset of the user-generated mediasets based on a set of criteria. A rights management component determines a set of authorizations of the consumer for respective media content associated with the set of user-generated mediasets, and takes at least one action based on the set of authorizations, e.g., updating one of the mediasets based on the set of authorizations.