News – CDL-RecSys

Integrating Local Knowledge and Large Language Models: New Paper Accepted at the Knowledge-aware and Conversational Recommender Systems Workshop at the RecSys’23

📢 Exciting News! 📚 Our paper titled “Potentials of Combining Local Knowledge and LLMs for Recommender Systems” has been accepted at the 5th Knowledge-aware and Conversational Recommender Systems Workshop. 🌐 Language Models have reshaped the landscape of natural language understanding, opening up new avenues for improving recommendation systems. In this work, we explore how combining…

Merging the gap between automated and human centered usability testing

Author: Can Özgür Yilmaz Supervisor: Allan Hanbury, Co-Supervisor: Julia Neidhardt Abstract In today’s world, usability testing is an essential aspect of the software developmentprocess. Conventional usability testing however is very time and resource consuming,because there needs to be a real person observing the user and trying to discover usabilityproblems from their observations. As a solution…

Exhibit rating prediction and vistior path prediction in a museum setting

Author: Marek Furka Supervisor: Julia Neidhardt Abstract Rating prediction and path prediction tasks in a museum/exhibition setting are important problems, yet not well explored. Existing literature is limited and authors rarely compare multiple approaches, leaving an apparent research gap. In this study, we aim to close this research gap by giving a comprehensive comparison of…