AI Game Recommendation System
AI Game Recommendation System is an industry-specific engine that analyzes user behavior and game attributes across the entire game library to deliver hyper-relevant suggestions, leading to a proven increase in daily turnover and GGR.
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DESCRIPTION
BetConstruct’s AI Recommendation Model is a specialised engine purpose-built for the iGaming sector, designed to tackle industry-specific challenges with custom strategies. Fully provider-agnostic, it scans your entire game library to deliver hyper-relevant suggestions to every player. By unifying user behaviour with game attributes, this powerful tool drives measurable commercial success, delivering a proven +26% growth in daily turnover and a 5-12% uplift in GGR for non-VIP players.
KEY FEATURES
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Advanced Factorization Machines (FM): Powered by FMs that integrate unique "Game DNA" to provide diverse and highly relevant game suggestions.
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Hybrid Recommendation Engine: Unifies user interactions (turnover, bets) with game attributes (type, theme) to analyse engagement and prioritise the top 10 games for each specific player.
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Relevance Optimisation: Utilises WARP Loss optimisation to ensure the highest-ranked games are prioritised for maximum user relevance.
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Fairness Modelling: Features Binarized Interaction Modelling to normalise user activity, preventing high-stakes betting patterns from skewing recommendations for the wider player base.
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Provider Agnostic Architecture: Selects recommendations from the full set of games available on your platform, ensuring unbiased and comprehensive content discovery.