Die Maschine Empfiehlt / Recommended by algorithms (Press Release Siegen U)

The University of Siegen published a news article (see screenshot) and press release about my work on self-learning automated recommender systems as-a-service.

Professor Dr. Jöran Beel aims to give smaller companies the opportunity to use a good recommendation service. He is developing a self-learning software that learns to generate the best recommendations. We‘re used to streaming services suggesting new series we might like. News sites recommend articles that could interest us. Facebook shows us contacts we might know. Almost every larger website includes a recommendation system. Some systems work better than others. For the companies that use them, these systems often translate into hard cash. They can mean the difference between customer loyalty and customer losses. »Right now, companies have two options if they want to use a recommendation system,« says Prof. Dr. Jöran Beel, Professor for Intelligent Systems at the University of Siegen. »They either engage a team of experts to develop a tailor-made platform for their individual outfit, or they pay a company to host the service forthem .« The big players like Netflix can afford the first option, but most other companies subscribe to a recommendation service. That‘s often a lot of money for relatively poor quality, according to the IT specialist. He aims to change that. Beel is working on a high-quality recommendation system designed for the needs of small and medium-sized enterprises.

https://www.uni-siegen.de/presse/relaunch/en/releases/2020/962721.html