LoL: Using "Personality Quizzes" & Nearest Neighbors for Recommendations
Using AI techniques to map a player’s “personality quiz” into a Champion recommendation in League of Legends (LoL).
Articles
LoL: UMAP and K-Means to Classify Characters — and why it’s useful
Using AI techniques to classify League of Legends (LoL) Champions into different classes and why this can be useful.
LoL: Content-Based Champion Recommendations with Dimensionality Reduction
Using AI techniques to simplify Champion playstyles into simple and explainable attributes, useful for classifying them into classes or recommending them to players.
4.4 Évaluations
+1 000 000 téléchargements
Entièrement conforme aux normes de Riot
Arrête de perdre les parties que tu aurais dû gagner
Accède à la base de données la plus avancée au monde et tire parti des analyses de niveau pro 100 % personnalisées dont tu as besoin pour mener ton équipe à la victoire.
LoL: Analyzing “Tilt” to Win More Games
Is tilt measurable? Does playing after a loss impact your win rate? How about a win? We explore all this, plus the variance across Elos, in todays article.
LoL: Graph Networks for Champion Recommendations
Measuring the similarities of Champions in a graph network, and how certain players consistently enjoy the same sort of Champions across all roles.
