Context-Aware Media Content Selection to Reduce Ad Competition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Online advertisements on mobile devices often compete with each other, leading to distraction and reduced effectiveness, as they are presented without consideration for other ads currently shown, resulting in lower user attention and conversion rates.
Innovation Solution
The technology intelligently selects and filters media content, such as advertisements, based on the context of the device, using co-presentation rules associated with the device, applications, or media content items, to limit competing ads and provide a focused experience by determining the context and applying filters to ensure compatible content is presented.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple online advertisements are presented to a user's device simultaneously, then the quantity of advertisements delivered increases, but user attention and conversion rates decrease due to distraction and competition between ads
Solution Approach 1:
The patent merges the decision-making process for multiple advertisements into a single coordinated system. The server evaluates candidate advertisements across different applications and selects a subset that co-presents well together, combining them into a unified advertisement presentation strategy that avoids internal competition and distraction.
Solution Approach 2:
The server acts as an intermediary between advertisers and the user's device. It receives candidate advertisements from multiple sources, evaluates their compatibility using co-presentation scores, and selectively delivers only those that will work well together, mediating the conflict between delivering multiple ads and maintaining user attention.
2Ease of operation
If advertisements are delivered without knowledge of other concurrent advertisements, then delivery simplicity is maintained, but advertisement effectiveness decreases due to lack of context awareness
Solution Approach 1:
The system performs preliminary evaluation of advertisement compatibility before delivery. The server calculates co-presentation scores for candidate advertisements against already-presented ads, and only selects advertisements that meet compatibility thresholds, ensuring context-aware delivery without complicating the actual delivery process.
Solution Approach 2:
The system uses feedback from the current advertisement context to guide subsequent advertisement selections. By continuously monitoring what advertisements are currently presented and using this information to evaluate candidate ads, the system adapts its delivery decisions to maintain overall effectiveness while keeping the delivery mechanism itself simple.
3Reliability
If a filter is generated based on present context to select compatible media content, then advertisement compatibility improves, but system complexity increases due to context analysis and filtering operations
Solution Approach 1:
The system applies partial filtering by focusing only on the most critical compatibility factors rather than analyzing every possible attribute of each advertisement. It uses co-presentation scores that capture essential compatibility information without requiring exhaustive context analysis, achieving good compatibility with moderate computational effort.
Solution Approach 2:
The system transforms complex context information into simplified parameters for filtering. By converting advertisement attributes and context data into co-presentation scores and compatibility metrics, the system enables efficient filtering operations that maintain high compatibility without requiring complex analysis of all underlying factors.
Data Source
AI summary
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for determining a context of a client device and selecting media content items to present at the client device based on their compatibility with the context. The context is based at least on the co-presentation rules associated with the content previously presented at the client device. Available media content items, such as invitational content items are evaluated with respect to the context, and presented according to their compatibility with at least a present context at the client device.