What is 4Front?

4Front is a Game Data Science platform that understands and predicts player behavior, using cutting-edge machine learning able to work at scale

4Front

Increase player activity, retention and happiness!
4Front supports the data-driven and player-focused development of mobile games.

Game Data Science as a Service

4Front research develops adequate statistical and learning methods that model and predict user behavior, scale to big data sets and allow an intuitive visualization of the results.

4Front

Convert raw data into knowledge

Latest News
December

2016

Last 23rd of December the 4Front member Anna Guitart was invited to give a seminar at King in Barcelona. Anna presented the lastest research results about churn prediction by time and level to the Data Scientist group at King.

King in Barcelona
October

2016

Silicon Studio had an important presence at IEEE DSAA 2016 in Montreal, Canada.
África Periáñez and Alain Saas were Chairs of the Game Data Special Session with three oral presentations.
4front member África Periáñez presented the paper titled "Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles" showing an advanced technology to predict when a player will leave the game.

https://sites.ualberta.ca/~dsaa16/index.html

4Front
September

2016

Silicon Studio participated at the IEEE Computational Intelligence and Games Conference in Santorini, Greece. África Periáñez and Anna Guitart gave an oral presentation about the 4Front Game Data Science latest advances "Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data". África Periáñez was also invited to participate to a panel on future research challenges in game analytics

http://cig16.image.ece.ntua.gr/

4Front
August

2016

We are organizers of the Game Data Science Special Session (GDS2016) at DSAA2016 in Montreal October 17-19, 2016. For more information see

http://gamedatascience.org

https://sites.ualberta.ca/~dsaa16/specialsessions.html#GDS

July

2016

Our paper “Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles” A. Perianez, A. Saas, A. Guitart, and C. Magne, has been accepted for publication at IEEE DSAA 2016

https://sites.ualberta.ca/~dsaa16/

June

2016

Our paper “Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data” A. Saas, A. Guitart, and A. Perianez, has been accepted for publication at IEEE CIG 2016

http://cig16.image.ece.ntua.gr/accepted-papers/