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Update Lectures
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erasmopurif committed Jun 14, 2024
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Expand Up @@ -15,23 +15,23 @@ title = "Lectures"

| | Lecture title | Speaker(s) | Duration |
|:----|:--------------|:-----------|:-----------|
| L1 | Best Practices for Offline Evaluation | Lien Michiels | 80 min. |
| L2 | Bias and Fairness in Recommendation | Mirko Marras | 80 min. |
| L3 | Creative and Innovative Approaches to Auditing <br> Recommender Systems | Catherine Baker and <br> Debbie Ging | 60 min. |
| L4 | Considering Temporal Aspects in Recommender Systems | Veronika Bogina | 60 min. |
| L5 | Context-Aware Recommender Systems: Foundations and <br> Future Perspectives | Moshe Unger | 60 min. |
| L6 | Conversational Recommender Systems and Recent Trends <br> Driven by Large Language Models | Li Chen and Lei Li | 90 min. |
| L7 | Enhancing Reproducibility in Recommender Systems: A Path <br> Towards Scientific Integrity and Effective Implementation | Claudio Pomo and <br> Antonio Ferrara | 120 min. |
| L8 | Fantastic Reviews and How to Write Them | Christine Bauer and <br> Olivier Jeunen | 80 min. |
| L9 | Foresight and Speculative Design for Recommender Systems | Freyja van den Boom | 60 min. |
| L1 | Best Practices for Offline Evaluation | Lien Michiels | 80 min. |
| L2 | Bias and Fairness in Recommendation | Mirko Marras | 80 min. |
| L3 | Creative and Innovative Approaches to Auditing <br> Recommender Systems | Catherine Baker and <br> Debbie Ging | 60 min. |
| L4 | Considering Temporal Aspects in Recommender Systems | Veronika Bogina | 60 min. |
| L5 | Context-Aware Recommender Systems: Foundations and <br> Future Perspectives | Moshe Unger | 60 min. |
| L6 | Conversational Recommender Systems and Recent Trends <br> Driven by Large Language Models | Li Chen and Lei Li | 90 min. |
| L7 | Enhancing Reproducibility in Recommender Systems: A Path <br> Towards Scientific Integrity and Effective Implementation | Claudio Pomo and <br> Antonio Ferrara | 120 min. |
| L8 | Fantastic Reviews and How to Write Them | Christine Bauer and <br> Olivier Jeunen | 80 min. |
| L9 | Foresight and Speculative Design for Recommender Systems | Freyja van den Boom | 60 min. |
| L10 | From Netnews to Ethics: A Historical Overview of <br> Recommender Systems | Alan Said | 80 min. |
| L11 | Graph Neural Networks for Recommender Systems | Aonghus Lawlor | 80 min. |
| L12 | Human-Centered Design and Evaluation of Conversational <br> Recommender Systems | Wanling Cai | 80 min. |
| L13 | Large Language Models in Recommender Systems | Marco Polignano | 150 min. |
| L14 | Multimodal Deep Learning for Recommendation | Daniele Malitesta | 80 min. |
| L15 | Music Information Retrieval and its Application in <br> Music Recommender Systems | Lorenzo Porcaro | 60 min. |
| L16 | Offline Recommender Systems Evaluation: Towards a Holistic <br> Understanding of Recommendation Performance | Vito Walter Anelli, <br> Nicola Ferro, and <br> Maurizio Ferrari Dacrema | 150 min. |
| L17 | Recent Advances in Deep Generative Models for Recommender <br> Systems: A Hands-On Lecture | Yashar Deldjoo et al. | 90 min. |
| L17 | Recent Advances in Deep Generative Models for Recommender <br> Systems: A Hands-On Lecture | Yashar Deldjoo, <br> Zhankui He, and <br> Anton Korikov | 90 min. |
| L18 | Recommenders and Digital Economics | Annelien Smets | 60 min. |
| L19 | Semantics and Content-Based Recommendations | Marco de Gemmis | 80 min. |
| L20 | Towards Possibility: Interdisciplinary Perspectives on Enhancing <br> Recommender Systems Beyond Accuracy | Irina Nalis and <br> Julia Neidhardt | 60 min. |
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