Set-Top Box Event Ticketing Automation via Preference Matching
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Solution Overview
Problem
Users often lack awareness of when their favorite artists or events are happening and face inconvenience in obtaining event tickets, which may be inaccessible due to firewalls or other barriers.
Innovation Solution
A system comprising a user device, set-top box, and event server that automatically identifies events matching user preferences, searches for tickets, and facilitates ticket procurement based on user data and event characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic ticketing is implemented, then user convenience and accessibility are improved, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: user device for preference input, STB for event matching and search, and event server for ticketing operations. This segmentation allows automatic ticketing functionality to be distributed across multiple components, reducing the complexity burden on any single device while maintaining overall system automation.
Solution Approach 2:
The STB acts as an intermediary between the user device and event server, performing event matching and ticket search operations. This intermediary role automates the ticketing process without requiring users to directly interact with complex ticketing systems, thereby improving ease of operation while managing system complexity through clear interface definitions.
2Loss of time
If manual ticketing processes are used, then system complexity is reduced, but user time and effort increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring events and matching them against user preferences before users need tickets. The STB proactively searches for available tickets and prepares booking information in advance, so when users want to attend an event, the ticketing process is already underway or complete, significantly reducing user time investment.
Solution Approach 2:
The automatic ticketing system enables self-service by allowing users to input their preferences once, after which the system autonomously monitors events, matches preferences with upcoming events, searches for tickets, and facilitates booking without requiring repeated user intervention. This self-service capability dramatically reduces the time users spend on ticketing while managing complexity through automation.
3Measurement precision
If comprehensive event monitoring is implemented, then event matching accuracy is improved, but information processing load increases
Solution Approach 1:
The system applies local quality by focusing monitoring and processing efforts on events that match specific user preferences rather than uniformly processing all events. The STB uses user preference data to filter and prioritize event monitoring, concentrating computational resources on relevant events only. This approach maintains high matching accuracy for events of interest while reducing overall processing load by ignoring irrelevant events.
Data Source
AI summary
Devices, systems and process for automated event ticketing are disclosed. A system includes: a user device having a data store and a processor coupled to the data store; a set top box (“STB”), coupled to the user device, having an STB data store and an STB processor; and at least one event server, coupled to the STB providing event data and event ticketing data for a plurality of events. Based on user preference data received from the user device, the STB processor searches the plurality of events for a given event which matches, at least in part, the user preference data, and when instructed by the STB, the event ticketing engine facilitates ticketing of the given user to the given event. When executed, first computer instructions instantiate a content application that performs content monitoring and user preferencing, and based on the foregoing generates user preference data.