98 citations · 142 across the 4 of their papers we have counts for
6 papers · 1 filter
Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning
Anna Guitart, Ana Fernández del Río, África Periáñez
As video games attract more and more players, the major challenge for game studios is to retain them. We present a deep behavioral analysis of churn (game abandonment) and what we…
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning
Anna Guitart, Shi Hui Tan, Ana Fernández del Río +2
Retaining premium players is key to the success of free-to-play games, but most of them do not start purchasing right after joining the game. By exploiting the exceptionally rich d…
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Anna Guitart, Pei Pei Chen, África Periáñez
Machine learning competitions such as those organized by Kaggle or KDD represent a useful benchmark for data science research. In this work, we present our winning solution to the…
A Machine-Learning Item Recommendation System for Video Games
Paul Bertens, Anna Guitart, Pei Pei Chen +1
Video-game players generate huge amounts of data, as everything they do within a game is recorded. In particular, among all the stored actions and behaviors, there is information o…
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data
Alain Saas, Anna Guitart, África Periáñez
The classification of time series data is a challenge common to all data-driven fields. However, there is no agreement about which are the most efficient techniques to group unlabe…
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles
África Periáñez, Alain Saas, Anna Guitart +1
Reducing user attrition, i.e. churn, is a broad challenge faced by several industries. In mobile social games, decreasing churn is decisive to increase player retention and rise re…