activity
20052022
most citedChurn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles

98 citations · 142 across the 4 of their papers we have counts for

collaborators

12 papers

cs.LG2022

Actionable Recourse via GANs for Mobile Health

Jennifer Chien, Anna Guitart, Ana Fernandez del Rio +2

Mobile health apps provide a unique means of collecting data that can be used to deliver adaptive interventions.The predicted outcomes considerably influence the selection of such…

stat.AP2020

A Time Series Approach To Player Churn and Conversion in Videogames

Ana Fernández del Río, Anna Guitart, África Periáñez

Players of a free-to-play game are divided into three main groups: non-paying active users, paying active users and inactive users. A State Space time series approach is then used…

stat.ML2019

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…

cs.LG2019

Profiling Players with Engagement Predictions

Ana Fernández del Río, Pei Pei Chen, África Periáñez

The possibility of using player engagement predictions to profile high spending video game users is explored. In particular, individual-player survival curves in terms of days afte…

stat.ML2019

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…

stat.ML201914 cited

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…