Passive Venue Verification for Directed Information Segmentation
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Solution Overview
Problem
Existing location-based services rely on explicit user actions for verifying device location, leading to inaccurate location identification and limited segment category creation.
Innovation Solution
Utilize passive information, such as wireless scan data and machine-learning models, to verify device location and create segment categories, enhancing accuracy and inclusivity without requiring explicit user checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If explicit user actions are used for verifying device location, then user control is maintained, but location verification accuracy deteriorates and segment category creation is limited
Solution Approach 1:
The system uses passive information automatically collected by the device (such as wireless scan data, location services, and device metadata) to verify location and create segment categories without requiring explicit user actions. The device serves itself by autonomously determining location verification and generating targeted information segments based on passive data collection.
Solution Approach 2:
The patent replaces the mechanical/manual check-in system with an automated electronic system that uses passive information from wireless networks, location services, and device metadata to verify location and create segment categories, eliminating the need for explicit user verification actions.
2Adaptability or versatility
If passive information is used to verify location, then location verification accuracy improves and segment category creation expands, but processing complexity increases
Solution Approach 1:
The system segments the processing into distinct modules: passive information collection from multiple sources, location verification using statistical models, and segment category generation. This segmentation allows complex processing to be divided into manageable stages that can be processed independently and scaled as needed.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives passive information from various sources, applies statistical models to verify location, and generates segment categories. This intermediary layer simplifies the overall system by providing a structured approach to handling complexity through centralized processing logic.
3Measurement precision
If passive information collection is implemented, then location verification accuracy improves, but data processing load increases
Solution Approach 1:
The system collects passive information continuously but only processes and analyzes this data when location verification is needed or when segment category generation is triggered. This partial action approach reduces unnecessary processing load while maintaining high accuracy when data is actually required.
Solution Approach 2:
The system performs preliminary data collection and basic processing of passive information in advance, storing and organizing the data so that when location verification is needed, the processing can be completed more quickly without requiring full re-analysis of all collected data, thus reducing real-time processing load.
Data Source
AI summary
In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.


