Location-Based Playlist Generation via Server-Side Media Matching
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Solution Overview
Problem
Users face inefficiencies in identifying and accessing media content they hear or see in public settings, requiring manual initiation of media identifier applications and lacking intuitive methods for obtaining information at a later time.
Innovation Solution
A system where a user's mobile computing device provides location history to a server, which collects playlist information from network-enabled media playback systems at those locations, allowing the server to provide media content information to the user's device for playback or further exploration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual initiation of media identifier applications is used, then users can identify media content, but the process is inefficient and lacks automation
Solution Approach 1:
The system performs preliminary actions by automatically collecting location history data and pre-associating it with media content information from network-enabled playback systems. When a user views location information, the corresponding media content is already prepared and can be immediately accessed without manual identification steps.
Solution Approach 2:
The system enables self-service by automatically matching location data with media content playlists stored on servers. The user simply needs to view their location history, and the system autonomously retrieves and presents the relevant media content information without requiring manual initiation of identifier applications.
2Ease of operation
If location history is collected and processed, then media content information becomes accessible, but system complexity increases
Solution Approach 1:
The system introduces a server as an intermediary that mediates between the user's mobile device and the distributed network-enabled playback systems. The server collects location history, stores media content information, and handles the matching logic, thereby simplifying the user interface while managing the underlying complexity centrally.
Solution Approach 2:
The server performs multiple functions including storing location history data, maintaining media content playlists, matching locations with media information, and serving requests from multiple user devices. This multi-functionality consolidates complexity into a single universal system rather than requiring complex local processing on each device.
3Ease of operation
If automated media content delivery is implemented, then user experience is enhanced, but data transmission requirements increase
Solution Approach 1:
The system extracts and transmits only the essential identification information (location data and associated media content metadata) rather than complete media files. The actual media content can be streamed or downloaded on-demand when users choose to access it, separating the identification phase from the content delivery phase to minimize unnecessary data transmission.
Data Source
AI summary
Example techniques disclosed herein relate to location-based playlists. In an example implementation, a system receives, from a mobile device, first GPS data indicating that the mobile device is located at a first physical location, wherein an application on the mobile device is registered with a particular user account of the cloud service. The system determines that the first physical location represented in the first GPS data corresponds to a location of a first business associated with one or more first playback devices within the cloud service. The one or more first playback devices are playing back first audio tracks. As each first audio track is at least partially played back, the system adds the respective first audio track to a location-based playlist associated with the particular user account of the cloud service. The computing system causes the mobile device to display an indication of the location-based playlist.