公开(公告)号：WO2018126023A1

公开(公告)日：2018-07-05

申请号：PCT/US2017/068736

申请日：2017-12-28

Applicant: GOOGLE LLC

Inventor： BENDER, John ,  ZHU, Zutao ,  LIN, Bo

IPC: G06F17/30

Abstract: Systems and methods for server-side rendering of native content for presentation within an environment of an application are provided. A method includes receiving, by a data processing system, from a client device, a request for content including a content slot identifier identifying a particular content slot provided by a resource; accessing, using the content slot identifier, a database to identify a presentation schema used to arrange content components to generate rendered content files according to a specific configuration for display within an environment of the resource; identifying, responsive to the request for content, a content asset including a plurality of content components; rendering, as a rendered content file, the plurality of content components based on the presentation schema corresponding to the content slot; and transmitting, by the data processing system, the rendered content file to the client device for display within the content slot of the resource.

公开(公告)号：WO2021145862A1

公开(公告)日：2021-07-22

申请号：PCT/US2020/013488

申请日：2020-01-14

Applicant: GOOGLE LLC

Inventor： ZELLE, Dustin ,  AL-RFOU, Rami ,  SHALAI, Mikhail ,  LIN, Bo ,  CATALANO, Joseph

IPC: G06F16/957 ,  G06F16/9574

Abstract: A solution arranged to build or train a machine learning model and to upload the machine learning model to a server arranged to deploy the machine learning model to a plurality of communicating devices. The machine learning model can be arranged to receive as input a sequence of one or more prior activities on one communicating device in the plurality of communicating devices, analyze the sequence of one or more prior activities on said one communicating device, predict a next activity on said one communicating device based on the analysis of the sequence of one or more prior activities, preemptively search a computer network based on the predicted next activity to find a computer asset, and preload the found computer asset to a storage in said one communicating device.