DFG Funds the Project “Understanding the Market Reaction to Audio Cues in Earnings Conference Calls”

Recommender Systems are an essential part of today’s e-commerce environment and are used by websites such as Amazon, eBay, iTunes, Netflix, Facebook, and the New York Times to increase sales and profits. While previous research on Recommender Systems focused on improving the accuracy of consumers’ preference predictions, scholars and practitioners have recently directed their attention to the study of additional value factors and their role in Recommender Systems design. The research project follows this emerging topic and aims to understand and design a Profit-Maximizing Recommender System (PMRS), as well as examine its impact on online consumer behavior, the firm’s profit and network structure. At Goethe University, Maximilian Lowin and Moritz von Zahn are involved in the project.