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Early churn prediction in freemium game mobile using Transformer-based architecture for tabular data
11 references·0 citing·34 second hop
Early churn prediction in freemium game mobile using Transformer-based architecture for tabular data (2024)Early churn prediction in freemium game m…A Machine Learning Model for Customer Churn Prediction using CatBoost Classifier (2023)A Machine Learning Model for …Social networks for enhanced player churn prediction in mobile free-to-play games (2022)Social networks for enhanced …Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning (2022)Predicting Player Churn of a …Clustering mixed-type player behavior data for churn prediction in mobile games (2022)Clustering mixed-type player …Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms (2020)Sentiment Analysis Based Chur…A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games (2018)A Semi-Supervised and Inducti…Early churn prediction with personalized targeting in mobile social games (2017)Early churn prediction with p…Churn prediction of mobile and online casual games using play log data (2017)Churn prediction of mobile an…Predicting churn in mobile free-to-play games (2016)Predicting churn in mobile fr…Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles (2016)Churn Prediction in Mobile So…Predicting player churn in the wild (2014)Predicting player churn in th…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)A Survey on Churn Analysis in Various Business Domains (2020)Churn prediction for high-value players in casual social games (2014)Predicting Purchase Decisions in Mobile Free-to-Play Games (2015)Game Analytics on Free to Play (2019)Exploiting limited players’ behavioral data to predict churn in gamification (2021)Not if but When will Borrowers Default (1999)Survival Analysis Methods for Personal Loan Data (2002)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Games and big data: A scalable multi-dimensional churn prediction model (2017)Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models (2018)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)Customer churn prediction using improved balanced random forests (2008)Customer churn prediction in telecommunications (2011)Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest (2022)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)E-LOYALTY: YOUR SECRET WEAPON ON THE WEB (2003)A casual revolution: reinventing video games and their players (2010)Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data (2018)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Why do people play mobile social games? An examination of network externalities and of uses and gratifications (2014)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Micro- and macro-level churn analysis of large-scale mobile games (2019)Deep Learning as a Vector Embedding Model for Customer Churn (2021)Prediction of user loyalty in mobile applications using deep contextualized word representations (2021)Enhancing game customer churn prediction with a stacked ensemble learning model (2024)Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks (2024)
this work references cited by second hop

References

  • 2014Predicting player churn in the wild160 cited
  • 2016Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles107 cited
  • 2017Early churn prediction with personalized targeting in mobile social games83 cited
  • 2017Churn prediction of mobile and online casual games using play log data72 cited
  • 2018A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games48 cited
  • 2022Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning24 cited
  • 2022Social networks for enhanced player churn prediction in mobile free-to-play games18 cited
  • 2016Predicting churn in mobile free-to-play games18 cited
  • 2020Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms13 cited
  • 2022Clustering mixed-type player behavior data for churn prediction in mobile games11 cited
  • 2023A Machine Learning Model for Customer Churn Prediction using CatBoost Classifier6 cited

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