Location-Based Venue Information System Using Social Networking Intermediaries
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Solution Overview
Problem
There is a need for mobile computing device apps that provide users with location-based information about businesses and other venues, as existing apps do not effectively offer tailored, neighborhood-specific services and trending venue data.
Innovation Solution
A mobile app that determines the user's neighborhood using GPS, compass, or other location-based methods, and provides location-based venue information by searching nearby businesses and trending venues, with features like automatic check-in functionality through integration with social networking services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the app provides location-based venue information and trending data, then the user experience and relevance of information is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent employs social networking services as intermediaries to provide venue information and trending data. Instead of the mobile device directly collecting and processing all location data, the system uses social networking APIs and services as mediators to fetch relevant information, thereby reducing the complexity requirements for the mobile application while maintaining location-based service capabilities.
2Ease of operation
If the app integrates automatic check-in functionality with social networking services, then the ease of operation is improved, but the loss of information and data privacy concerns increase
Solution Approach 1:
The automatic check-in functionality allows the system to perform the check-in action autonomously based on location data without requiring manual user input. The app automatically detects when the user arrives at a venue and initiates the check-in process through social networking services, reducing the operational steps required from the user's perspective while managing data privacy through automated, background operations.
3Measurement precision
If the app determines neighborhood based on multiple location methods (GPS, compass, triangulation), then the measurement precision of location is improved, but the use of energy and device resources increase
Solution Approach 1:
The patent implements location determination by selectively using multiple methods (GPS, compass, network triangulation) rather than continuously activating all available location services. The system employs partial action by activating only the necessary location methods based on current needs, such as using GPS only when high precision is required and falling back to network-based methods for lower precision requirements, thereby reducing overall energy consumption while maintaining adequate location accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The app offers users location-specific venue information and trending data, enhancing user experience by providing relevant business and social interaction information, and simplifying the process of checking in at venues.
Implementation Method 1
The location of the mobile computing device may be determined according to any suitable hardware and/or software-based capabilities of the device. For example, the mobile computing device may determine its location using a Global Positioning System (GPS) of the device, a compass and/or gyroscope of the device, a triangulated position received from a mobile telecommunications network provider
Data Source
AI summary
Various embodiments are directed to systems and methods for determining a neighborhood location of a person using a mobile computing device. The mobile computing device may transmit its location to an application server system. The application server system may perform at least one search of a venue database over a plurality of venue categories considering the received location and may determine a neighborhood location of the mobile computing device based on results of the search.


