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User Churn Migration Analysis with DEDICOM
Proceedings of the 9th ACM Conference on Recommender Systems, 2015Time plays an important role regarding user preferences for products. It introduces asymmetries into the adoption of products which should be considered in the context of recommender systems and business intelligence. We therefore investigate how temporally asymmetric user preferences can be analyzed using a latent factor model called Decomposition ...
Rafet Sifa +2 more
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A Clustering-Prediction Pipeline for Customer Churn Analysis
2021Customer churn is the event when customers using the products or services of an organization decide to no longer do so by either switching to another organization or by stopping using those products/services. It takes much more effort to attract new customers than to retain the existing clientele, which makes predicting customer churn and imposing ...
Hanming Zheng, Ling Luo, Goce Ristanoski
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Personalized Customer Churn Analysis with Long Short-Term Memory
International Conference on Big Data and Smart Computing, 2021In today’s competitive business environment, companies aim to retain their existing customers. To achieve that, churn prediction is crucial. Predicting churning customers is not a simple task.
Ahmet Tugrul Bayrak +4 more
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Churning off the news: An analysis of newspaper subscriber churn across digital devices
Newspaper Research Journal, 2023Subscriber churn is of utmost importance for newspapers, which have for decades been struggling to maintain the robust readership they used to enjoy. This is especially true in a digital media landscape that operates within an attention economy. This study examined the difference in subscriber churn across 29 newspaper properties in large U.S.
Vincent C. Peña +2 more
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Social network analysis for customer churn prediction
Applied Soft Computing, 2014This study examines the use of social network information for customer churn prediction. An alternative modeling approach using relational learning algorithms is developed to incorporate social network effects within a customer churn prediction setting, in order to handle large scale networks, a time dependent class label, and a skewed class ...
Wouter Verbeke +2 more
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Churn Analysis in Telecommunication Industry
2018 International Conference on Automation and Computational Engineering (ICACE), 2018The driving motive behind this study is to provide the telecom industries with a novel tool for analysing their prominent data. An attempt has been made to develop a classification model, which uses the telecom operator's data to predict the customer's behaviour.
Mohit Bagri +4 more
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Analysis of customer churn behavior in digital libraries
Program, 2014Purpose – The purpose of this paper is to discuss issues related to customer churn behavior in digital libraries (DLs) and demonstrate the successful application of Survival Analysis for understanding customer churn status and relationship duration distribution between customers and libraries.
Yuangen Lai, Jianxun Zeng
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Customer churn analysis using feature optimization methods and tree-based classifiers
Journal of Services MarketingPurpose As internet banking service marketing platforms continue to advance, customers exhibit distinct behaviors. Given the extensive array of options and minimal barriers to switching to competitors, the concept of customer churn behavior has emerged ...
Fatemeh Ehsani, Monireh Hosseini
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Enhancing churn forecasting with sentiment analysis of steam reviews
Social Network Analysis and MiningShuzlina Abdul-Rahman +3 more
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Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
International Conference on Machine LearningThis study introduces an innovative method for analyzing the impact of various interventions on customer churn, using the potential outcomes framework.
Chenyin Gao, Zhimin Zhang, Shu Yang
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