A modular framework for interpretable, player-conditional champion ranking in League of Legends is specified using style similarity, mastery priors, archetype guardrails, and robust normalization on behavioral data.
Hybrid recommender systems: Survey and experiments.User Modeling and User-Adapted Interaction, 12:331–370, 2002
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Robust Player-Conditional Champion Ranking for League of Legends: Style Similarity, Mastery Priors, and Archetype-Constrained Discovery
A modular framework for interpretable, player-conditional champion ranking in League of Legends is specified using style similarity, mastery priors, archetype guardrails, and robust normalization on behavioral data.