Evaluating multi-label classifiers and recommender systems in the financial service sector
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DOI: 10.1016/j.ejor.2019.05.037
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Cited by:
- Radu-Adrian MARINCEAN, 2023. "Recommender System’S Economic Impact On Ebusiness. A Theoretical Review," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 32(1), pages 728-741, July.
- Gupta, Mukul & Kumar, Pradeep, 2020. "Recommendation generation using personalized weight of meta-paths in heterogeneous information networks," European Journal of Operational Research, Elsevier, vol. 284(2), pages 660-674.
- Christopher Gerling & Stefan Lessmann, 2024. "Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis," Papers 2411.14463, arXiv.org.
- Matthias Bogaert & Lex Delaere, 2023. "Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art," Mathematics, MDPI, vol. 11(5), pages 1-28, February.
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Keywords
OR in marketing; CRM; Predictive modeling; Multi-label classifiers; Recommender systems;All these keywords.
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