Entertainment Playlist Reward System Using Segmentation
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Solution Overview
Problem
Current systems lack an efficient method for controlling and rewarding users based on their consumption of entertainment media, failing to effectively track and incentivize media usage across multiple users and platforms.
Innovation Solution
A system that registers users and media owners, stores data in databases, and rewards users based on media units played and duration, using microprocessors to synchronize and export playlists, enabling simultaneous calculations for large user bases and incentivizing media consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system tracks and rewards users based on media consumption across multiple users and platforms, then user engagement and revenue are increased, but system complexity and data processing requirements increase
Solution Approach 1:
The system divides the large-scale media consumption tracking into modular components: individual media unit tracking, user profile management, reward calculation modules, and platform synchronization layers. Each module handles specific aspects independently, reducing overall system complexity while maintaining comprehensive tracking capabilities across multiple users and platforms.
Solution Approach 2:
The patent introduces intermediary databases and synchronization layers that mediate between multiple entertainment platforms and the central reward system. These intermediaries standardize data exchange formats and handle platform-specific variations, allowing the core reward mechanism to remain simple while supporting diverse media sources.
2Reliability
If the system calculates rewards for large numbers of users simultaneously, then incentive effectiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-calculates and stores base reward values for different media units in databases before users consume them. When a user plays media, the system retrieves pre-computed reward values and applies them immediately, avoiding complex real-time calculations for each user interaction and significantly reducing processing time while maintaining accuracy.
Solution Approach 2:
The patent implements dynamic parameter adjustment where reward calculation complexity is modified based on user tier, media type, and platform. Simple parameter lookups are used for common cases, while complex calculations are reserved for exceptional scenarios, optimizing the balance between accuracy and processing speed for large user bases.
Data Source
AI summary
Disclosed is a process and a system for controlling a computerized entertainment property playlist comprising registering a user and also registering an owner of the entertainment property. Next, the user can select, or allow a system to select on their behalf, entertainment property units owned by the owner, to be played on a playlist. Next, the system can be configured to store information relating to the registered user, the registered owner, and the media units in at least one database. Next, process can result in exporting the playlist via instructions sent by a microprocessor to at least one additional database. Next, the system can involve playing the entertainment property, or syncing multiple entertainment properties, on the playlist. Finally the system can involve rewarding the user based upon a number of units played of the media units and a duration of play of each of these media units.