首页|Research from Technological University Dublin Provide New Insights into Machine Learning (A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners)
Research from Technological University Dublin Provide New Insights into Machine Learning (A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Dublin, Ireland, by NewsRx editors, the research stated, “Due to market deregulation and globalisati on, competitive environments in various sectors continuously evolve, leading to increased customer churn.” Funders for this research include Irish Research Council; Science Foundation Ire land Through The Adapt Sfi Research Centre, Technological University Dublin. Our news correspondents obtained a quote from the research from Technological Un iversity Dublin: “Effectively anticipating and mitigating customer churn is vita l for businesses to retain their customer base and sustain business growth. This research scrutinizes 212 published articles from 2015 to 2023, delving into cus tomer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of churn prediction models comprehensively, contrar y to published reviews, which focus on some aspects of churn prediction, such as model development, feature engineering and model evaluation using traditional m achine learning-based evaluation metrics. The review emphasises the incorporatio n of features such as demographic, usage-related, and behavioural characteristic s and features capturing customer social interaction and communications graphs a nd customer feedback while focusing on popular sectors such as telecommunication , finance, and online gaming when producing newer datasets or developing a predi ctive model. Findings suggest that research on the profitability aspect of churn prediction models is under-researched and advocates using profit-based evaluati on metrics to support decision-making, improve customer retention, and increase profitability.”
Technological University DublinDublinIrelandEuropeCyborgsEmerging TechnologiesMachine Learning
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