Application (pre-grant publication)
SYSTEM AND METHOD FOR LEVERAGING MACHINE LEARNING TO DELIVER TIME-SENSITIVE CONTENT OVER OPTIMAL DEVICES AND CHANNELS
- Number
- 20170272505
- Published
- 2017-09-21
- Filed
- 2016-03-17
- Assignee
- Disney Enterprises, Inc.
- Inventors
- SMITH; TONY R.
- CPC
- H04L67/306; H04N21/4758; H04L67/535; G06F3/04847; H04N21/4755; G06F3/04817; H04L51/04; H04L51/214; H04N21/25891
- Verdict
- Set aside ML-driven time-sensitive content delivery - business
- Source
- Google Patents · FreePatentsOnline
Abstract
Systems and methods are described for leveraging machine learning to deliver time-sensitive media content offers to a consumer over an optimal device and channel. In an implementation, a server system transmits media content offers over an optimal device and channel to a user. The server system captures metadata of at least one of: the user's use of multiple devices, the user's media content preferences, the user's preferred transmission channels for receiving media content offers over the multiple devices, and the user's preferred times for receiving media content offers.The server system prepares a media content offer for transmission to the user. Based on the captured metadata, the server system selects a user device of the multiple user devicesand a transmission channel of multiple transmission channels to transmit the media content offer; and transmits the media content offer to the selected user device over the selected transmission channel.
Background
BRIEF DESCRIPTION OF THE DRAWINGS
The present disclosure, in accordance with one or more variousembodiments, is described in detail with reference to the following figures. The figures are provided for purposes of illustration only and merely depict typical or example embodiments of the disclosure.
FIG. 1 is a high-level block diagram illustrating an example environment for delivery of media content offers in which the disclosure can be implemented.
FIG. 2 is an operational flow diagram illustrating an example method for leveraging machine learning to deliver media content offers to a particular consumer device overa particular channel.
FIG. 3 illustrates an example graphical user interface that may be implemented in accordance with an embodiment of the disclosure.
FIG. 4 illustrates an example computing module that may be used to implement various features of the system and methods disclosed herein.
The figures are not exhaustive and do not limit the disclosure to the precise form disclosed.DETAILED DESCRIPTION
Today, many consumers own or carry multiple electronic devices (e.g., smartphones, laptops, wearable devices, etc.) that are capable of receiving time-sensitive content via multiple channels (e.g., notification, text message, e-mail, etc.). Depending on the time and location that the time-sensitive content is delivered, a particular type of consumer device may be optimal for receiving and presenting the content to the consum