公开(公告)号：US20160253684A1

公开(公告)日：2016-09-01

申请号：US14633227

申请日：2015-02-27

Applicant: Google Inc.

Inventor： Huazhong Ning ,  Cheng Sheng ,  Wei Chai ,  Hrishikesh Balkrishna Aradhye

IPC: G06Q30/02

CPC classification number: G06Q30/0201 ,  G06Q30/02 ,  G06Q30/0278

Abstract: Systems and methods of structures reviews through auto-generated tags are provided that include providing, with a computing device having an input device and a display device, a user interface to receive a review for an object from a reviewer, selecting a set of tags from an object tag collection stored in a database communicatively coupled to the computing device according to the object and the reviewer, displaying, by the display device of the computing device, the selected set of tags on a display, receiving an input, by the input device, to remove one or more of the displayed tags, and storing, by a storage device, the remaining tags of the set of tags that are submitted according to the received input for the object.

Abstract translation: 提供了通过自动生成的标签进行结构审查的系统和方法，包括提供具有输入设备和显示设备的计算设备，用于从审阅者接收对象的评论的用户界面，从 存储在根据对象和审阅者通信地耦合到计算设备的数据库中的对象标签集合，通过计算设备的显示设备在显示器上显示所选择的一组标签，由输入设备接收输入 去除一个或多个所显示的标签，并且由存储设备存储根据所接收的对象的输入而提交的一组标签的剩余标签。

公开(公告)号：US20170300995A1

公开(公告)日：2017-10-19

申请号：US15099136

申请日：2016-04-14

Applicant: Google Inc.

Inventor： Zhongyu Wang ,  Chun How Tan ,  Hrishikesh Balkrishna Aradhye ,  Kara Bailey ,  Fei Hong ,  John Mentgen ,  Sebastian Camacho ,  Zhaoyan Su ,  Aaron Kwong Yue Lee ,  Xun Zhang

IPC: G06Q30/06 ,  G06F17/30

CPC classification number: G06Q30/0631 ,  G06F16/287 ,  G06Q30/0643

Abstract: A system and method for optimizing clusters included in an app store are disclosed. The method comprises generating, by one or more proposal servers, one or more cluster proposals, wherein each of the one or more proposal servers executes a proposal algorithm, processing, by a cluster server, the one or more cluster proposals to resolve any conflicts within and across the one or more proposal servers, assigning a priority value to each of the one or more cluster proposals based on a predicted impact of the respective cluster proposal in the app store, forwarding to a review portal a predetermined amount of prioritized cluster proposals for review and approval, and publishing approved prioritized clusters proposals on the app store.

公开(公告)号：US20160125034A1

公开(公告)日：2016-05-05

申请号：US14614688

申请日：2015-02-05

Applicant: Google Inc.

Inventor： Huazhong Ning ,  Weilong Yang ,  Tianhong Fang ,  Min-hsuan Tsai ,  Hrishikesh Balkrishna Aradhye

IPC: G06F17/30

CPC classification number: G06F16/24573 ,  G06F16/951

Abstract: A system and method of annotating an application, including obtaining input signals associated with a target application, wherein the input signals are obtained from a plurality of sources, obtaining first annotation data from the obtained input signals, generating second annotation data in a machine-understandable form based on the first annotation data, and associating the second annotation data with the target application.

Abstract translation: 一种注释应用程序的系统和方法，包括获得与目标应用相关联的输入信号，其中从多个源获得输入信号，从所获得的输入信号获得第一注释数据，在机器可理解的第二批注数据中生成第二注释数据 基于所述第一注释数据的形式，以及将所述第二注释数据与所述目标应用相关联。

公开(公告)号：US20180089698A1

公开(公告)日：2018-03-29

申请号：US15563198

申请日：2016-06-29

Applicant: Google Inc.

Inventor： Bilson Jake Libres Campana ,  Zile Wei ,  Hrishikesh Balkrishna Aradhye

IPC: G06Q30/02 ,  G06F9/48 ,  G06F11/34

CPC classification number: G06Q30/02 ,  G06F3/0482 ,  G06F9/48 ,  G06F11/34 ,  H04W4/60

Abstract: A system and method to profile an application use and identify data used for application execution, map the identified data for application execution to a virtual memory associated with application execution, including execution beginning at specific times, states or stages of the application, and transmit the virtual memory to an end user wishing to demonstrate the application on an end user device. The end user device can emulate the application from any desired application start time, state or stage using data at the end user device identified by the virtual memory.

公开(公告)号：US20170300814A1

公开(公告)日：2017-10-19

申请号：US15394668

申请日：2016-12-29

Applicant: Google Inc.

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

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/084

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.