Sporting Event Wager Recommendations Using Followed-User Automation
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Solution Overview
Problem
Existing sporting event wagering systems require users to manually select and input multiple complex parameters for placing bets, leading to increased user error and machine wear due to incorrect inputs, especially for novice users.
Innovation Solution
A system that recommends sporting event wagers based on attributes of the user and a followed user, automating the selection process by weighing multiple data points to identify and display suitable wagers with reduced user inputs, thereby reducing errors and extending machine lifespan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select and input multiple complex parameters for placing bets, then the system allows complete user control and customization, but user error increases and machine wear increases due to incorrect inputs
Solution Approach 1:
The system enables users to follow other users and automatically receive wager recommendations without manual parameter selection. The followed user's wager selections are automatically transmitted to the following user, eliminating the need for the following user to manually input complex betting parameters while reducing errors through automated data transfer.
Solution Approach 2:
The system introduces an intermediary mechanism where a followed user acts as a mediator between the wagering system and the following user. The followed user's expertise and selections serve as an intermediate layer that simplifies the betting process for the following user, reducing the complexity of manual parameter selection and minimizing input errors.
2Adaptability or versatility
If users manually input multiple complex parameters, then the system provides comprehensive wagering options, but machine wear increases due to frequent incorrect inputs
Solution Approach 1:
The system allows users to automatically receive and place wagers based on followed users' selections without manual intervention. This self-service approach maintains comprehensive wagering options through the diversity of followed users' selections while significantly reducing machine wear by eliminating repeated manual input operations and incorrect entries.
Solution Approach 2:
The system performs preliminary actions by pre-selecting wagers based on followed users' expertise and historical performance. This preliminary selection process reduces the need for following users to manually input parameters, thereby decreasing the frequency of incorrect inputs and extending machine lifespan while preserving versatile wagering options through the pre-curated selections.
3Ease of operation
If the system automates wager selection by weighing multiple data points, then user error decreases and ease of operation improves, but the complexity of the recommendation system increases
Solution Approach 1:
The system extracts the complex data weighing and analysis functions into a separate recommendation engine that operates independently. The core wagering interface remains simple for users, while the extracted recommendation system handles the complexity of weighing multiple data points including user preferences, followed user performance, and wager parameters in the background.
Solution Approach 2:
The system introduces a recommendation intermediary that sits between the user and the complex wagering parameters. This intermediary automatically processes multiple data points and presents simplified wager recommendations to users, maintaining ease of operation while managing system complexity through the intermediary layer that handles the sophisticated analysis transparently.
4Measurement precision
If the system requires multiple user inputs for wager placement, then wagering precision and user control are maintained, but time consumption increases
Solution Approach 1:
The system performs preliminary wager selection and validation based on followed users' expertise and historical accuracy. This preliminary action pre-processes the wagering decision, maintaining selection accuracy through the followed user's proven judgment while significantly reducing the time required for the following user to place the wager by eliminating manual parameter selection and validation steps.
Data Source
AI summary
A system that causes an automatic publication of one or more sporting event wagers to a user based on zero, one or more attributes of that user, and zero, one or more attributes of another user.