Sporting Event Interest Value Calculation and Display
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Solution Overview
Problem
Sports enthusiasts often miss interesting, exciting, or important events due to the large number of simultaneous sporting events worldwide, as they focus on one event and may not be aware of developments in others until later.
Innovation Solution
Calculating a value for each sporting event based on current status, network traffic, user responses, and past/future predictions using sport-specific algorithms, and displaying only events with values exceeding a predetermined threshold in web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sporting events are displayed in web pages, then users can access complete information, but the information becomes overwhelming and users cannot identify important events
Solution Approach 1:
The patent replaces manual information filtering with an automated computer-based system that calculates interest values using algorithms. The system automatically processes sporting event data, applies weighting factors, and ranks events without user intervention, substituting mechanical human judgment with computational automation.
Solution Approach 2:
The patent transforms qualitative event importance into quantitative interest values by changing parameters such as event status (ongoing/completed/upcoming), network traffic metrics, and user response data into numerical scores. This allows automated comparison and ranking of events based on calculated interest values.
2Ease of operation
If users manually check multiple sporting events, then they can find interesting events, but they spend excessive time and may miss important events
Solution Approach 1:
The patent performs preliminary filtering and ranking of sporting events before user viewing. The system pre-calculates interest values for multiple events, sorts them by importance, and presents only the most relevant events to users, eliminating the need for users to manually check unrelated events and saving their time.
Solution Approach 2:
The system enables self-service by automatically identifying and presenting interesting events to users without requiring their active participation in the selection process. Users simply receive curated event recommendations based on the system's automated analysis, freeing them from manual monitoring tasks.
3Loss of information
If the system calculates and ranks sporting events by interest value, then important events are prioritized, but the system complexity increases
Solution Approach 1:
The patent segments the event selection process into distinct functional modules: data collection module, algorithm calculation module, ranking module, and display module. Each module handles a specific aspect of the process, making the overall complex system manageable through functional decomposition and independent development of each component.
Data Source
AI summary
Accessing one or more sets of sporting event data, each of which being associated with a particular one of one or more sporting events, and each of which comprising one or more sporting event data that indicate at least current event status of the associated sporting event at a current time. For each of the sporting events, calculating a value by applying the set of sporting event data associated with the sporting event to one or more algorithms, each of which having been determined for a particular sport to which the sporting event is categorized, comparing the value to a threshold requirement, and if the value satisfies the threshold requirement, then displaying the sporting event data associated with the sporting event.