公开(公告)号：US20180139507A1

公开(公告)日：2018-05-17

申请号：US15351355

申请日：2016-11-14

Applicant: Google, Inc

Inventor： Tuna Toksoz ,  Pasha Nahass

IPC: H04N21/61 ,  H04L29/06 ,  H04N21/81

CPC classification number: H04N21/8166 ,  A63F13/355 ,  A63F13/49 ,  A63F2300/535 ,  G06K2209/01 ,  H04L65/4084 ,  H04L65/602 ,  H04L65/607 ,  H04N21/4781 ,  H04N21/6587

Abstract: A client system presents, within an execution environment of an application, a third-party media stream distinct from the application, received from a remote host server via a network. The client system detects interaction events during presentation of the third-party media stream, and transmits descriptions of the detected interaction events to the remote host server. The application may be pre-cued prior to presentation, e.g., to minimize start-up time. In some implementations, a side-band message channel is established to facilitate communication between the client system and the remote host server.

公开(公告)号：US20180130092A1

公开(公告)日：2018-05-10

申请号：US15344246

申请日：2016-11-04

Applicant: Google Inc.

Inventor： Pasha Nahass ,  Arunkumar Balaraman ,  Tuna Toksoz

IPC: G06Q30/02 ,  H04L29/06 ,  H04L29/08

CPC classification number: G06Q30/0248 ,  A63F13/352 ,  A63F13/49 ,  A63F13/69 ,  A63F13/79 ,  H04L65/1063 ,  H04L65/4069 ,  H04L67/20 ,  H04L67/22 ,  H04L67/42

Abstract: A client system presents, within an execution environment of an application, a third-party media stream distinct from the application, received from a remote host server via a network. The client system detects interaction events during presentation of the third-party media stream, and transmits descriptions of the detected interaction events to the remote host server. The client system updates a data set with data corresponding to detected interaction events and generates, by application of an interaction heuristic to the data set, an interaction score indicative of a likelihood of engagement with the third-party media stream. The interaction score is provided to the application, which may then provide a reward based on the likelihood of engagement. In some implementations, the interaction heuristic is based on a number or frequency of interaction events, e.g., button utilization, screen taps, device motion, or screen changes detected during presentation of the received third-party media stream.