Tag: RecommenderSystems
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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…