Evaluating multi-label classifiers and recommender systems in the financial service sector

Volume: 279, Issue: 2, Pages: 620 - 634
Published: Dec 1, 2019
Abstract
The objective of this paper is to evaluate multi-label classification techniques and recommender systems for cross-sell purposes in the financial services sector. We carried out three analyses using data obtained from an international financial services provider. First, we tested four multi-label classification techniques, of which the two problem transformation methods were combined with several base classifiers. Second, we benchmarked the...
Paper Details
Title
Evaluating multi-label classifiers and recommender systems in the financial service sector
Published Date
Dec 1, 2019
Volume
279
Issue
2
Pages
620 - 634
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