Swisscom

Graph Embedding Methods for Scalable Knowledge Graph Completion

Knowledge graphs have recently attracted significant attention in scenarios that require exploiting large-scale heterogeneous data collections. When graph sizes reach high orders of magnitude a delicate balance between performance and computational cost might is required. This project presents an approach to construct a model that generates meaningful graph representations while…

Multi-Task Learning for Customer Understanding

Customer understanding is a ubiquitous and multifaceted business application whose mission lies in providing better experiences to customers by recognising their needs. A multitude of tasks, ranging from churn prediction to accepting upselling recommendations, fall under this umbrella. Common approaches model each task separately and neglect the common structure some…