Tag: AI
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RecSys Workshop 2024: Exploring AI Collaboration🤝
The RecSys Workshop held at TU Wien on September 9th and 10th, 2024, brought together leading minds in the field of recommender systems to explore the evolving collaboration between humans and AI. Organized by the Christian Doppler Lab for Recommender Systems, this event aimed to delve into the complexities and opportunities of AI-human collaboration in…
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Unlocking the Potential of Content-Based Restaurant Recommender Systems: Insights from ENTER Conference 2024
Today, Thomas E. Kolb, had the pleasure of presenting our work, “Unlocking the Potential of Content-Based Restaurant Recommender Systems” at the ENTER Konferenze 2024, in Izmir, Turkey. 📚 Our research focuses on optimizing dining experiences by examining the effectiveness of TF-IDF and SBERT models. This study not only assesses these models on a technical level…
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Exploring News Recommendations Beyond Accuracy: Insights from the 11th International Workshop on News Recommendation and Analytics in Conjunction with ACM RecSys 2023
Today, Dr. Irina Nalis-Neuner and I presented our paper, “Like a Skilled DJ: An Expert Study on News Recommendations Beyond Accuracy,” at the 11th International Workshop on News Recommendation and Analytics in Conjunction with ACM RecSys 2023. 📚 In the past, recommender systems aimed for accuracy, but recent awareness highlights the need for considerations beyond accuracy. This…
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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…