NETWORKED SYSTEM FOR PROCESSING SENSOR DATA AND EXTERNAL DATA FOR AN AD SERVER

• US 20180130098A1
• Filed: 11/04/2016
• Published: 05/10/2018
• Est. Priority Date: 11/04/2016
• Status: Abandoned Application

• Current Assignee: Aki Technologies, Inc. (Inmar Investment Holdings LLC)
• Original Assignee: Aki Technologies, Inc. (Inmar Investment Holdings LLC)
• Inventors: Swanson, Richard Scott, Bravo, Alvaro, Mondragon, Carlos, Finn, James H.
• Application Number:
  US15/343,615
• Publication Number:
  US 20180130098A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

An advertising management system serves advertisements to user devices. Sensor data of the user devices can be analyzed, along with external data indicative of characteristics of a current environment of the user and/or the user device, such as weather, land use, or land type, to determine an audience containing that user. The system can select advertisements to present to that user based on the user'"'"'s audience. Code embedded in a prior advertisement can be used to gather the sensor data or code provided to application developers, such as in a system development kit, can obtain sensor data. The sensor data can be isolated from the application that executes the code. Sensor data might be distilled to a motion label representing a presumed activity of the user. Analyzing sensor data might include a machine learning process to interpret the sensor data and external data to determine a likely audience.

Claims

1. A method of serving advertisements to a user device having sensors that sense movement and other characteristics of the user device, the method comprising:

gathering sensor data from the user device;

analyzing the sensor data to determine a determined audience containing a user of the user device, wherein an audience is a collection of users sharing a determined profile;

selecting a selected advertisement to present to the user based on the determined audience of the user; and

following an advertisement request from an application executing on the user device, providing the selected advertisement to the application executing on the user device, wherein the determined audience is determined prior to providing the selected advertisement.

2. The method of claim 1, wherein analyzing the sensor data comprises:

mapping raw sensor data relating to motion of the user device into a motion label representing a presumed activity of the user while using the user device; and

using the motion label to select an audience for the user.

3. The method of claim 2, wherein analyzing the sensor data is performed using a machine learning process to interpret the sensor data and external data to determine a likely audience for the user of the user device.

4. The method of claim 1, wherein the determined audience is one of a plurality of audiences determined to include the user.

5. The method of claim 1, wherein determining the determined audience further comprises analyzing external data relating to the user of the user device or relating to the user device, wherein the external data indicates characteristics of a current environment of the user of the user device and/or of the user device itself other than characteristics determined from sensors of the user device.

6. The method of claim 5, wherein the external data includes one or more of weather data for a location indicated by a location sensor or program of the user device, map data indicative of a use of the location, or data indicative of a land type data of the location.

7. A non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least:

execute motion collection code in response to an application on a user device invoking the motion collection code;

record sensor data from sensors of the user device, wherein recording is done to a memory space not accessible to the application; and

transmit recorded sensor data to an ad backend server, wherein the recorded sensor data is transmitted without providing access to the recorded sensor data, in the clear, to the application.

8. The non-transitory computer-readable storage medium of claim 7, wherein the executable instructions are in the form of program code embedded into the application by way of a system development kit.

9. The non-transitory computer-readable storage medium of claim 7, wherein the executable instructions are in the form of program code embedded into an advertisement data message provided to the application in response to an advertisement request by the application.

10. The non-transitory computer-readable storage medium of claim 9, wherein the advertisement data message is in a JavaScript™

fragment delivered with the advertisement data message.

11. The non-transitory computer-readable storage medium of claim 10, wherein the JavaScript™

fragment is configured to pass through an ad exchange server that supplies advertisements to the user device.