Thumbnail-Based Ad Frequency Control for Content Delivery
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Solution Overview
Problem
Conventional advertisement systems fail to ensure that specific advertisements are viewed by a specific user a certain number of times over a specific time period across multiple user devices, making it challenging for advertisers and network operators to collect accurate metrics and dynamically adjust their operations.
Innovation Solution
The system generates consistent thumbnails of advertisements to determine their display frequency and number of views, using geolocation and user device information to select relevant ads, and dynamically adjusts the frequency of ad rendering until the desired number of views is achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisement frequency is increased to improve revenue generation, then advertising effectiveness improves, but user experience deteriorates due to excessive ad exposure
Solution Approach 1:
The system implements a feedback mechanism by generating thumbnails of displayed advertisements and comparing them against a database of previously displayed ad thumbnails associated with the user device. This feedback loop enables the system to track and control advertisement frequency, ensuring ads are displayed an optimal number of times within a specified time period, thereby maintaining advertising effectiveness while preventing user experience degradation from excessive exposure
Solution Approach 2:
The patent replaces traditional mechanical counting methods with a visual recognition system using thumbnail generation and comparison. Instead of relying on complex metadata tracking or user device reporting, the system captures visual representations of advertisements and uses image comparison techniques to determine if the same ad has been previously displayed, providing a more reliable and automated frequency control mechanism
2Measurement precision
If thumbnail generation and comparison is implemented to track ad frequency, then advertising metrics accuracy improves, but system complexity increases
Solution Approach 1:
The system extracts only the essential visual information from advertisements by generating thumbnails, which are simplified visual representations containing key identifying features. This extraction approach maintains measurement precision for tracking ad frequency while significantly reducing the computational complexity and data storage requirements compared to analyzing full-resolution advertisement content
Solution Approach 2:
The system creates simplified copies (thumbnails) of advertisements that retain the essential visual characteristics needed for identification and comparison. These thumbnail copies enable accurate frequency tracking through image comparison algorithms while minimizing system complexity by working with smaller, processed image data rather than original high-resolution advertisement files
3Productivity
If geolocation-based ad selection is implemented to improve ad relevance, then advertising effectiveness improves, but data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by obtaining geolocation information from the user device in advance of advertisement selection. This pre-fetching of location data enables the advertisement decision service to select geographically relevant ads before the thumbnail generation and comparison process begins, improving advertising effectiveness while allowing subsequent processing to work with already-retrieved data rather than requiring real-time location queries
Data Source
AI summary
Systems, methods, and devices for dynamically including advertisements in content sent to a user device. A server computing device deployed in a service provider network may select an advertisement from one of a plurality of advertisement decision services (ADSs), generate a thumbnail of the selected advertisement, and compare the generated thumbnail to previously generated thumbnails to determine whether the selected advertisement was previously sent to the user device within a time period. The server may also determine whether the number of times that the selected advertisement has been sent to the user device within the time period exceeds a threshold value, and include the selected advertisement in the content sent the user device in response to determining that the number of times that the selected advertisement has been sent to the user device within the time period does not exceed the threshold value.