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).
Artículos
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.
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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.
