Finding the sweet spot for transparency and control in music recommendations
Wednesday, October 3, 2018 - 09:30
in Mathematics & Economics
In music recommender systems, it's important to design user controls that hit the sweet spot between the perceived quality of recommendations and acceptable cognitive load, concludes TU Delft researcher Nava Tintarev. Together with colleagues from KU Leuven, and research with the Spotify API, she will present these findings at the ACM Conference on Recommender Systems in Vancouver, on Wednesday October 3rd.