Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
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"Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach"
written by Michele Gorgoglione, Umberto Panniello,
published by Journal of Intelligent Learning Systems and Applications, Vol.3 No.2, 2011

has been cited by the following article(s):

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CrossRef

[1]	Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector
	2021

[2]	Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector. Computation 2021, 9, 34
	2021

[3]	A bi‐objective procedure to deliver actionable knowledge in sport services
	2020

[4]	Evaluating and Improving Attrition Models for the Retail Banking Industry
	2020

[5]	An Actionable Knowledge Discovery System in Regular Sports Services
	2019

[6]	Extracting Actionable Knowledge to Increase Business Utility in Sport Services
	2019

[7]	Modelos para incremento da retenção em serviços desportivos regulares
	Conference Paper, 2018

[8]	(N′, T, N)-Implications
	2018

[9]	Models for increasing retention in regular sports services: Predictive analysis and loyalty actions
	2018

[10]	CHURN PROPENSITY MODEL FOR CUSTOMERS WHO MADE A COMPLAINT IN RETAIL BANKING
	2018

[11]	Tekoälyn soveltuvuus vähittäispankkipalveluihin
	2018

[12]	Modelos para incremento da retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
	2018

[13]	Modelos para incrementoda retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
	2018

[14]	INTELLIGENTPERSONALIZATION APPROACHESFORCOMPLEX CUSTOMER BEHAVIOUR: AN OVERVIEW
	International Journal of Intelligent Computing and Information Sciences, 2017

[15]	The Risk of Optimization in Marketing Campaigns
	International Journal of Business Analytics (IJBAN), 2017

[16]	Understanding IPTV churning behaviors: focus on users in South Korea
	Asia Pacific Journal of Innovation and Entrepreneurship, 2017

[17]	An Empirical Study on Job Satisfaction, Organizational Role Stress and Burnout among Secondary School Teachers in Coimbatore
	Asian Journal of Research in Social Sciences and Humanities, 2016

[18]	Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking
	INFOS 2016 Proceedings of the 10th International Conference on Informatics and Systems, 2016

[19]	Asian Research Consortium
	2016

[20]	A Comparative Study on Customer Satisfaction and Retention Strategy in Public and Private Sector Banks
	2016

[21]	A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree
	arXiv preprint arXiv:1504.02018, 2015

[22]	Customer Churn Analysis In Banking Sector Using Data Mining Techniques
	2015

[23]	Constraint Mining in Business Intelligence: A Case Study of Customer Churn Prediction
	International Journal of …, 2013

[24]	Reducing churn from price increases: an experimental intervention
	NULL 2013

[25]	Digitalisierung und Personalisierung im Spannungsfeld von Kunden-und Bankinteressen

[1]	Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector Computation, 2021 DOI:10.3390/computation9030034

[2]	A bi‐objective procedure to deliver actionable knowledge in sport services Expert Systems, 2020 DOI:10.1111/exsy.12617

[3]	Evaluating and Improving Attrition Models for the Retail Banking Industry 2020 Systems and Information Engineering Design Symposium (SIEDS), 2020 DOI:10.1109/SIEDS49339.2020.9106629

[4]	A bi‐objective procedure to deliver actionable knowledge in sport services Expert Systems, 2020 DOI:10.1111/exsy.12617

[5]	Progress in Artificial Intelligence Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-30244-3_33

[6]	The Risk of Optimization in Marketing Campaigns International Journal of Business Analytics, 2017 DOI:10.4018/IJBAN.2017100101

[7]	Understanding IPTV churning behaviors: focus on users in South Korea Asia Pacific Journal of Innovation and Entrepreneurship, 2017 DOI:10.1108/APJIE-08-2017-026

[8]	Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16, 2016 DOI:10.1145/2908446.2908488

[9]	Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking Proceedings of the 10th International Conference on Informatics and Systems, 2016 DOI:10.1145/2908446.2908488

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	customer@scirp.org
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