Supplemental Content Bidding With Viewer-Specific Parallel Selection
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Solution Overview
Problem
Content providers miss opportunities to select higher-paying advertisements due to limited pools of advertisements available in existing payment systems, leading to excess network traffic and wasted resources from unsuitable supplemental content delivery.
Innovation Solution
A system that receives supplemental-content requests from viewers, modifies them based on viewer-specific data, generates parallel bids to multiple sources, and selects bids based on statistics to deliver more relevant content, improving efficiency and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a limited pool of advertisements is used in existing payment systems, then the system complexity is reduced, but the content provider misses opportunities to select higher-paying advertisements
Solution Approach 1:
The patent segments the advertisement selection process into multiple independent bid requests sent to different supplemental content sources simultaneously. Each source independently evaluates and bids on advertisements based on viewer data, allowing the system to access a broader pool of advertisements beyond what a single limited system could provide.
Solution Approach 2:
The patent introduces an intermediary selection mechanism that receives bid responses from multiple supplemental content sources, evaluates them based on predetermined criteria, and selects the optimal advertisement. This intermediary layer enables the system to manage complexity by abstracting the selection logic from the individual bid sources.
2Productivity
If supplemental content is delivered without viewer-specific data modification, then the delivery process is simplified, but excess network traffic and wasted resources occur from unsuitable content
Solution Approach 1:
The patent applies preliminary action by modifying the supplemental content request with viewer-specific data before generating bid requests. This pre-processing step ensures that only relevant advertisements are considered in the bidding process, preventing unnecessary content delivery and reducing network traffic waste.
Solution Approach 2:
The patent implements local quality by tailoring the supplemental content selection to specific viewer characteristics and preferences. Each bid request is customized based on viewer data, ensuring that the selected advertisements are locally relevant to the individual viewer, thereby reducing waste from unsuitable content delivery.
3Productivity
If parallel multi-source bid requests are implemented, then more relevant supplemental content is delivered, but the system complexity increases
Solution Approach 1:
The patent merges multiple bid request operations into a coordinated parallel process. By combining the request generation, simultaneous sending to multiple sources, and consolidated response evaluation into a unified workflow, the system achieves higher bid collection rates while managing complexity through integration rather than separate independent processes.
Data Source
AI summary
Systems and methods are described herein for selecting supplemental content for a viewer based on bid responses received from supplemental-content sources for a supplemental-content bid request provided in parallel. A supplemental-content request is received from a content receiver for a viewer. The supplemental-content request is modified based on viewer-specific data that is obtained for the viewer. A supplemental-content bid request is generated based on the modified supplemental-content request and provided to a plurality of supplemental-content sources. Bid responses are received from one or more of the plurality of supplemental-content sources. One or more bids from the bid responses for the supplemental-content request are selected based on obtained supplemental-content statistics. Supplemental content associated with the one or more selected bids is provide to the content receiver to fulfill the supplemental-content request.