56 citations · 177 across the 7 of their papers we have counts for
7 papers
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…
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…
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
Pei Pei Chen, Anna Guitart, Ana Fernández del Río +1
Nowadays, video game developers record every virtual action performed by their players. As each player can remain in the game for years, this results in an exceptionally rich datas…
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…
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data
EunJo Lee, Yoonjae Jang, DuMim Yoon +14
Game companies avoid sharing their game data with external researchers. Only a few research groups have been granted limited access to game data so far. The reluctance of these com…