In this study, we examine the problem of predicting customer defection in a noncontractual setting. Motivated by recent work on machine learning using multiple time slices, we develop a novel training and testing framework, the sliding multi-time slicing (SMTS) method. We apply this method to...

Chapter 1. Introduction to the Personalization in E-commerce -- Chapter 2. Recommendation System for Multi-variant E-commerce Interfaces -- Chapter 3. Analysis of Customer Behaviour -- Chapter 4. Designing and Serving a Dedicated Interface -- Chapter 5. Evaluation of a Multi-variant Interface...

In the wake of the global disruption caused by the coronavirus pandemic, digital channels have emerged as a significant driver of business sales. As such, the value of digital business management has received considerable attention from industrial practitioners. Beyond conventional promotion...

In recent years, online shopping is one of the routine parts in people’s life. It is convenient and takes less effort to purchase it. Regarding the increasing revolution of e-commerce businesses, recommendation engine plays a crucial role in them. Recommendation engines are very popular and...

Gerd Pfitzenmaier unterzieht den Hype um das Internet der Dinge einer Prüfung und plädiert dafür, nicht alles umzusetzen, was möglich ist. Denn jenseits der Annehmlichkeiten lauern auch Risiken - vom einfachen Kurzschluss bis hin zur Unwetterkatastrophe, die Stromnetze lahmlegt, ganz zu...