EP04 - Post-Training Denoising of User Profiles withLLMs in Collaborative Filtering Recommendation. With Ervin Dervishaj
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EP04 - Post-Training Denoising of User Profiles withLLMs in Collaborative Filtering Recommendation. With Ervin Dervishaj
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About this listen
When it comes to recommendation, indirect feedback by user is a powerful tool, but it can be problematic to deal with noise. In this episode of targz Ervin Dervishaj from University of Copenhagen presents a method to leverage LLMs for post-training denoising. How does it work? What are the benefits? Let's find out together!
Link to the paper (Post-Training Denoising of User Profiles withLLMs in Collaborative Filtering Recommendation): https://arxiv.org/pdf/2601.18009
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