Augmenting machine learning with human insights: the model development for B2B personalization
Shahrzad Yaghtin,
Joel Mero
Abstract:Purpose
Machine learning (ML) techniques are increasingly important in enabling business-to-business (B2B) companies to offer personalized services to business customers. On the other hand, humans play a critical role in dealing with uncertain situations and the relationship-building aspects of a B2B business. Most existing studies advocating human-ML augmentation simply posit the concept without providing a detailed view of augmentation. Therefore, the purpose of this paper is to investigate how human involve… Show more
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