Location Sharing System Departure Time Prediction
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Solution Overview
Problem
Social networking systems face challenges in generating custom media content for users, particularly in predicting departure times of users from regular locations, which is essential for sharing accurate location-based information.
Innovation Solution
A geographically-based graphical user interface (GUI) is developed, referred to as a 'map GUI,' which uses historical location data to predict a user's departure time from labeled places. This system analyzes attendance records to accurately forecast when a user will leave a regular location, allowing for sharing of this information with approved contacts through the map GUI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system analyzes historical location data and attendance records to predict departure times, then the accuracy of departure time prediction is improved, but the complexity of the system increases
Solution Approach 1:
The system performs preliminary analysis of historical location data and attendance records to establish patterns and predict departure times before they actually occur. By pre-processing and storing historical data, the system can make accurate predictions without requiring complex real-time analysis during the actual departure event.
Solution Approach 2:
The system uses the user's own historical location data and attendance records to predict their departure times. The data itself serves as both the input and the basis for the prediction, allowing the system to leverage existing information rather than requiring external complex processing systems.
2Productivity
If the system shares location-based information with approved contacts, then user engagement is improved, but the complexity of managing privacy settings and contact lists increases
Solution Approach 1:
The system uses a single approved contacts list to manage multiple sharing functions including location information, departure time predictions, and other social networking features. This universal contact management approach consolidates privacy settings into one place rather than requiring separate management for each type of information sharing.
Data Source
AI summary
Methods, systems, and devices for predicting a departure time of a user from a labeled place. In some embodiments, the location sharing system accesses historical location data of the user and extracts, for one or more labeled location of the user, an attendance record of the user at the labeled place. Then, when the location sharing system receives current location data of the user, and the system determines that the user is currently at the labeled place, the user predicts a departure time of the user from the labeled place based on the attendance record of the user at the labeled places. Some embodiments share the predicted departure time of the user with the user's friends via a map GUI.