METHOD OF GENERATING WEB-BASED ADVERTISING INVENTORY AND TARGETING WEB-BASED ADVERTISEMENTS

• US 20170018008A1
• Filed: 03/05/2015
• Published: 01/19/2017
• Est. Priority Date: 03/11/2014
• Status: Active Grant

• Current Assignee: Realeyes Ou
• Original Assignee: Realeyes Ou
• Inventors: HAJIYEV, Elnar, SALO, Martin
• Granted Patent: US 10,796,341 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Embodiments of the invention provide analytics in regard to behavioural data for improved computer-resource utilization, more particularly, in connection with a computer-implemented method of using behavioural data collected for a user (and in particular emotional response data obtained from facial images of the user) to generate or otherwise control ad inventory or ad display on the fly.

Claims

1. A method of generating web-based advertising inventory, the method comprising:

collecting behavioral data for a user during playback of media content on a networked computing device; and

generating an ad inventory if the collected behavioral data satisfies a predetermined condition.

2. The method according to claim 1 comprising evaluating a behavior criterion using the collected behavioural data to determine if the predetermined condition is satisfied.

3. The method according to claim 2, wherein evaluating a behavior criterion comprises generating data representative of one or more emotional states of the user.

4. The method according to claim 2, wherein evaluating a behavior criterion comprises:

generating an engagement metric value that is indicative of the user'"'"'s engagement with the media content; and

comparing the extracted engagement metric value with a predetermined threshold.

5. The method according to claim 2, wherein the step of evaluating a behavior criterion is performed periodically throughout playback of the media content.

6. The method according to claim 2, wherein the step of evaluating a behavior criterion comprises calculating the time evolution of a behavior criterion over a predetermined period of data within the duration of the media content.

7. The method according to claim 2, wherein collecting behavioral data comprises executing a data collection module on the networked computing device.

8. The method according to claim 7, wherein the data collection module performs the steps of evaluating the behavior criterion and generating the ad inventory.

9. The method according to claim 1, comprising determining a property of the ad inventory based on the collected behavioral data.

10. The method according to claim 9, wherein the determined property is selected from the group consisting of duration, type, and size.

11. The method according to claim 1 comprising generating an ad inventory profile parameter based on the collected behavioral data, wherein the generated ad inventory includes the ad inventory profile parameter.