30 citations · 83 across the 11 of their papers we have counts for
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cs.IR2020★ 25 cited
Exploring Artist Gender Bias in Music Recommendation
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1
Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…
cs.DL2020★ 19 cited
Measuring Diversity of Artificial Intelligence Conferences
Ana Freire, Lorenzo Porcaro, Emilia Gómez
The lack of diversity of the Artificial Intelligence (AI) field is nowadays a concern, and several initiatives such as funding schemes and mentoring programs have been designed to…