Personalized Real-Time Wager Alerts Using User Interest Matching
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Solution Overview
Problem
Play by play wagering in sporting events is rapid and complex, with multiple simultaneous events making it difficult for users to identify and act on relevant wagers within the limited time frame, leading to potential revenue loss for betting platforms.
Innovation Solution
A system that retrieves live event characteristics, compares them to user historical interests, applies filters, and provides real-time notifications for correlated wagers, enhancing user engagement and platform revenue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple simultaneous sporting events are offered for wagering, then the variety and engagement of the betting platform increases, but the difficulty for users to identify relevant wagers and make decisions increases
Solution Approach 1:
The system segments the overwhelming stream of live sporting events and wagering opportunities into personalized, user-specific notifications. By dividing the broad event landscape into tailored segments based on user preferences, teams, players, and bet types, the system makes relevant wagers easily identifiable without reducing overall platform variety
Solution Approach 2:
The notification system acts as an intermediary between the complex betting platform and the user. It filters and translates the multitude of simultaneous events into curated alerts that highlight only those wagers matching user interests, bridging the gap between platform versatility and user decision-making capability
2Speed
If real-time notifications are provided for multiple simultaneous events, then the speed and responsiveness of the wagering system improves, but the complexity of the notification system increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring user preferences, interests, and notification criteria before live events begin. User profiles store predefined teams, players, bet types, and alert preferences, allowing the notification system to rapidly filter and deliver relevant alerts during fast-paced events without complex real-time decision-making
Solution Approach 2:
The notification system serves itself by using pre-stored user preference data to automatically filter and prioritize alerts. The system self-manages the complexity of monitoring multiple simultaneous events by relying on previously configured user interests rather than requiring complex real-time analysis of each event
3Measurement precision
If comprehensive user interest tracking is implemented, then the precision of personalized notifications improves, but the amount of data processing and storage requirements increases
Solution Approach 1:
The system extracts only the essential and most relevant user preference attributes needed for notification filtering, such as favorite teams, players, bet types, and alert preferences. By taking out only these critical data elements rather than tracking all possible user interactions, the system achieves precise personalized matching while minimizing data processing and storage requirements
Data Source
AI summary
A method of identifying characteristics of wagers available on individual actions of a sporting event that are highly correlated with a user's history of wagers made and wagers viewed or has preselected specific wager options to be notified about. The user interacts with a betting platform through a mobile application that displays all of the live actions available to be wagered upon, and the odds of those wagers. The user's interaction with the application is recorded, along with their wagering decision, wagering amount, and a plurality of action characteristics, such as teams involved, down and distance, weather, etc., and examined for correlations. As the betting platform receives a new live action available to be wagered on, it compares the characteristics of the new action to the user's history and will notify the user of the new action if it is highly correlated with their past interest.