Information targeting using hierarchical location segmentation
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Solution Overview
Problem
Current information delivery systems lack the granularity and specificity needed to effectively target content to users based on location, relying heavily on geographic location data and failing to account for sub-location attributes and user context.
Innovation Solution
A system that utilizes both geographic and user-specified location data, along with co-location analysis and user input, to enhance the specificity of information targeting and delivery, allowing for the identification of sub-locations and contextual attributes to determine the most appropriate content for delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geographic location data is used for information delivery, then information can be delivered to users based on their location, but the granularity and specificity of targeting is limited
Solution Approach 1:
The patent segments location information into multiple hierarchical levels: geographic location (broad), sub-location (intermediate), and co-located objects (specific). This segmentation allows the system to progressively refine targeting precision from city-level to room-level accuracy, resolving the contradiction between broad geographic coverage and fine-grained location specificity
Solution Approach 2:
The patent implements a nested structure where sub-locations are nested within geographic locations, and co-located objects are nested within sub-locations. This nested doll approach allows the system to maintain multiple levels of location granularity simultaneously, enabling both broad geographic targeting and specific sub-location targeting without losing contextual information at any level
2Measurement precision
If only geographic location data is used, then the system is simple to operate, but the targeting specificity and user experience are insufficient
Solution Approach 1:
The patent implements self-service mechanisms where mobile devices automatically detect and report their own location, sub-location, and co-located objects without requiring manual user input. The system automatically infers sub-locations based on device location data and automatically identifies co-located objects through sensor data, reducing operational complexity while maintaining high targeting specificity
Solution Approach 2:
The patent introduces an intermediary information delivery system that acts as a mediator between users and content providers. This intermediary automatically processes location data, infers sub-locations, identifies co-located objects, and selects appropriate content, shielding users from system complexity while enabling precise targeting
3Adaptability or versatility
If sub-location and contextual information are incorporated, then information delivery becomes highly specific and relevant, but the system complexity increases
Solution Approach 1:
The patent implements dynamic adaptability where the level of information delivery specificity automatically adjusts based on available data, user preferences, and contextual conditions. The system dynamically selects which level of location granularity to use (geographic, sub-location, or co-located object level) and dynamically adapts content selection based on real-time sensor data and user behavior, enabling high versatility without requiring complex manual configuration
Data Source
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AI summary
Information may be more specifically targeted to locations or individuals based on contextual information derived from user input, environmental information, device attributes and the like. A more precise location, in some examples, may be determined based on user-specified information such as a name of a device. In other examples, user input such as commands and queries may be used to determine further attributes of a particular location, of a device and/or of a user. Such information may then be used as parameters for filtering and selection of information such as advertisements, movies, books, shows, articles and the like to a specific location, device and/or user.