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Found 7 papers, 0 papers with code
Profiling Players with Engagement Predictions
The possibility of using player engagement predictions to profile high spending video game users is explored.
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning
The proposed conditional inference survival ensembles method could be readily used in operational environments for early identification of premium players and the parts of the game that may prompt them to become paying users.
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Machine learning competitions such as those organized by Kaggle or KDD represent a useful benchmark for data science research.
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
Nowadays, video game developers record every virtual action performed by their players.
A Machine-Learning Item Recommendation System for Video Games
Video-game players generate huge amounts of data, as everything they do within a game is recorded.
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data
Game companies avoid sharing their game data with external researchers.
Databases
Forecasting Player Behavioral Data and Simulating in-Game Events
Understanding player behavior is fundamental in game data science.
