Live Wager Notification Filtering From Historical Betting Patterns
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Solution Overview
Problem
Existing online betting platforms fail to provide timely notifications of potential wagers that a user may be interested in, especially during fast-paced events like American football games, and lack the ability to filter wagers similar to those previously wagered on.
Innovation Solution
A system that retrieves live event characteristics, correlates them with user historical data, applies filters, and sends notifications on a display when highly correlated wagers are available, using a notification module and betting module to alert users of relevant betting opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually monitor multiple live events and wagers simultaneously, then they can identify wagering opportunities, but the time required to make decisions increases significantly
Solution Approach 1:
The system performs preliminary actions by pre-filtering and pre-identifying wagering opportunities based on user profile data before the user needs to make a decision. The server continuously monitors live events and pre-processes wager information against stored user preferences, so when a wager becomes available, the user receives an immediate notification without having to manually search or evaluate multiple events.
2Loss of time
If the system monitors all live events and wagers in real-time, then timely notifications can be sent, but the system complexity and processing requirements increase
Solution Approach 1:
The system extracts and focuses only on the most relevant information by filtering live event data through user profile criteria. Instead of processing all possible wagers across all events, the system extracts and monitors only those wagers that match user interests, historical betting patterns, and predefined filters, significantly reducing the processing burden while maintaining timely notifications.
Solution Approach 2:
The system applies local quality by customizing the monitoring and notification process to each user's specific preferences and betting history. Each user receives tailored notifications based on their individual profile, allowing the system to focus computational resources on relevant wagers rather than uniformly processing all events, thus optimizing the balance between timeliness and processing complexity.
3Loss of information
If users are provided with all available wagers without filtering, then they have complete information, but the ease of operation decreases due to information overload
Solution Approach 1:
The system segments the overwhelming amount of wager information into manageable, personalized notifications. By dividing all available wagers into categories based on user interests and historical behavior, the system presents only the most relevant options to the user, making the interface simpler and more ease of operation while maintaining information completeness through targeted selection rather than presenting everything at once.
Data Source
AI summary
A method of identifying wagers trends from a user's wagering history in order to alert the user of similar wagers that are available. The user interacts with a betting platform which displays all of the live plays available to be wagered upon, and the odds of those wagers. The user's interaction with the application may be recorded, along with their wagering data and a plurality of play characteristics. As the betting platform receives a new live play available to be wagered on, it may compare the characteristics of the new play to the user's history and may notify the user of the new play if it is highly correlated with their past wagering interactions with the platform.