Media Point Exposure Strength for Mobile Content Delivery
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Solution Overview
Problem
Existing outdoor and out-of-home media networks struggle to effectively target and deliver relevant content to mobile users based on their location and exposure to various media points, lacking the ability to aggregate and utilize real-time data from multiple media sources to influence content delivery.
Innovation Solution
A computer-implemented method that receives a request for content delivery, determines the user's location, identifies nearby media points, assesses exposure strength, and selects relevant supplemental content for delivery, using databases to aggregate user preferences and behavior data, and predicts future exposures to optimize content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital media networks aggregate location-specific information from multiple media points, then content delivery relevance is improved, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that centralizes the aggregation and processing of location-specific information from multiple media points. This server acts as a mediator between the distributed media points and mobile devices, managing the complexity of data collection, user profile maintenance, and content selection centrally rather than distributing this complex logic across all devices and media points.
Solution Approach 2:
The server performs multiple functions including aggregating media point data, tracking user locations, maintaining user profiles, determining exposure strength, and selecting supplemental content. By consolidating these diverse functions in a single multi-functional system, the patent manages complexity while achieving high content delivery relevance.
2Reliability
If the system tracks and aggregates user exposure to multiple media points over time, then advertising effectiveness is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant features from the vast amount of collected data - specifically user location, media point exposure history, and preference information. Rather than processing all raw data, the system extracts and stores only the critical elements needed for content selection, reducing data processing requirements while maintaining advertising effectiveness.
Solution Approach 2:
The system performs preliminary aggregation and organization of user exposure data and media point information in advance, maintaining pre-processed user profiles and media point databases. This preliminary action reduces the processing burden during real-time content delivery by having data ready in structured formats.
3Measurement precision
If the system determines exposure strength based on multiple factors including direction vector, then content targeting precision is improved, but computational requirements increase
Solution Approach 1:
The patent applies different weighting factors to different exposure scenarios based on local conditions. Rather than using a uniform complex calculation for all cases, the system adjusts the exposure strength determination based on specific local factors such as user direction, media point type, and environmental conditions, optimizing computational requirements while maintaining precision.
Data Source
AI summary
Method for influencing content delivery to a mobile device used by a user includes: receiving a request for content delivery from the mobile device, over a computer network; obtaining a location of the mobile device; identifying one or more media points in proximity to the obtained location of the mobile device; obtaining type, location and display size of the identified one or more media points, from one or more databases; determining a strength of an exposure of the user to said identified one or more media points, based on the type, location and display size of the identified one or more media points and the location of the mobile device; selecting a relevant supplemental content for delivery to the mobile device, based on said determined strength of an exposure of the user to said identified one or more media points; and delivering said selected relevant supplemental content and the requested content to the mobile device over the computer network.