{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Recsperts - Recommender Systems Experts","title":"#6: Purpose-Aware Privacy-Preserving Recommendations with Manel Slokom","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f807313e\"></iframe>","width":"100%","height":180,"duration":5947,"description":"Episode number six of Recsperts is about purpose-aware privacy-preserving data for recommender systems. My guest is Manel Slokom, who is a 4th year PhD student at Delft University of Technology. She served as student volunteer at RecSys for three years in a row before becoming student volunteer co-chair herself in 2021. In addition to her work on privacy and fairness, she also dedicates herself to simulation and in particular synthetic data for recommender systems - also co-organizing the 1st SimuRec Workshop as part of RecSys 2021.","thumbnail_url":"https://img.transistorcdn.com/5aEuXaIPxTFiKrepOVeTtB4JSWf3YlVUbAQdiV2LNzA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzI0Mzc3LzE2MzIz/NDExMjMtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}