Set Top Box Geocoding for Location-Based Content Personalization
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Solution Overview
Problem
Current content distribution systems, such as those used by HBO and NBC, do not utilize geocoding information to personalize program and advertising content for users based on their location history, missing opportunities for relevant content presentation and targeted advertising.
Innovation Solution
A system that collects geocoding information from users' mobile devices and combines it with geocoding data embedded in content to analyze user location history and preferences, enabling the set top box to suggest relevant programs and advertising, including coupons, based on proximity to specific locations and real-time user situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If broadcasters distribute content without geocoding information, then content distribution is simple and straightforward, but the ability to personalize content and target advertising based on user location is lost
Solution Approach 1:
Geocoding information is embedded in content during the content generation process before distribution. This preliminary action allows the content to carry location data inherently, enabling personalization without adding complexity to the distribution system itself. The set top box then uses this pre-encoded information to deliver personalized content based on user location history.
2Measurement precision
If set top boxes use only demographic information for advertising, then the system is simple to operate, but advertising relevance and targeting precision are limited
Solution Approach 1:
The system merges multiple data sources including user location history from mobile devices, geocoding information embedded in content, and demographic data. By combining these diverse information sources, the set top box achieves precise advertising targeting while managing complexity through integrated data processing rather than separate systems.
Solution Approach 2:
The system continuously gathers user location data from mobile devices and feeds it back to the set top box, which then uses this real-time feedback to dynamically adjust and personalize advertising content. This feedback loop enables precise targeting by constantly updating the system with current user location information.
3Adaptability or versatility
If mobile device location data is collected and analyzed, then personalized content suggestions can be provided, but user privacy concerns and data security requirements increase
Solution Approach 1:
The system processes and analyzes location data locally on the user's mobile device and set top box rather than centralizing all raw data. By keeping data processing local and using aggregated location history rather than continuous real-time tracking, the system provides personalized recommendations while minimizing privacy risks through distributed data handling.
Data Source
AI summary
Methods and apparatus for using geocoding information from a user's mobile device to determine program and advertising media content to deliver to the user.