Selective Wagering Feed Filtering for Player Engagement
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Solution Overview
Problem
Wagering game machines struggle to attract frequent play due to the lack of personalized and engaging content, as existing systems fail to effectively filter and publish relevant wagering game activity notifications to players, leading to a homogenized gaming experience.
Innovation Solution
A system that selectively filters and publishes messages related to wagering game activity, allowing players to configure preferences and receive tailored notifications based on their interests, past activities, and location, integrating messages with social networks and news feeds, and using a feed server with modules for message reception, filtering, and publication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wagering game machines publish all wagering game activity notifications to players, then players receive comprehensive information about game activity, but players experience information overload and reduced engagement due to irrelevant content
Solution Approach 1:
The system segments the player base into different groups based on their preferences, game types, and behavior patterns. Each segment receives customized notifications tailored to their specific interests, rather than a uniform broadcast to all players. This segmentation enables relevant information delivery while managing complexity through structured player categorization.
Solution Approach 2:
The notification system applies local quality by customizing the content, timing, and delivery method of messages based on individual player characteristics and contexts. Each player receives notifications with quality attributes (relevance, timing, format) optimized for their specific preferences and current game state, rather than uniform notification delivery to all players.
2Adaptability or versatility
If wagering game machines send personalized notifications to each player, then player engagement increases, but the system complexity and operational costs increase significantly
Solution Approach 1:
The system performs preliminary actions by collecting player preference data, game behavior patterns, and demographic information during normal gameplay. This pre-collected data is used to automatically personalize notifications without requiring complex real-time analysis when messages are sent, reducing operational complexity while maintaining high personalization levels.
Solution Approach 2:
Players configure their own notification preferences through the system's interface, selecting which types of messages they want to receive, how frequently, and in what format. This self-service approach reduces the burden on the system to infer preferences and allows players to directly control their notification experience, simplifying the personalization mechanism.
3Loss of information
If wagering game machines filter notifications based on multiple player preferences and criteria, then notification relevance improves, but message delivery time and system processing time increase
Solution Approach 1:
The system pre-processes and categorizes notification templates, player preference profiles, and delivery channel configurations before actual message generation. By having these elements prepared in advance with defined filtering rules and delivery parameters, the system minimizes real-time processing requirements when notifications need to be sent, reducing delivery delays while maintaining high relevance.
Data Source
AI summary
A method comprises receiving a feed of a number of messages providing notification of wagering game activity, wherein the wagering game activity occurred via at least one of a wagering game machine at a wagering game establishment and an online wagering game website. The method includes storing the number of messages. The method includes filtering the number of messages to create a subset of messages, wherein the filtering is based on at least one of an operator criteria and a player criteria. The operator criteria and the player criteria comprises at least one of a jackpot win, a progressive win, an entry into a bonus round, and a win where a monetary amount won exceeds a threshold multiplier of an amount wagered. The method includes publishing the subset of messages to a computing device associated with the wagering game player.


