Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation

no code implementations • 28 Jul 2022 • Manel Slokom, Özlem Özgöbek, Martha Larson

This paper studies user attributes in light of current concerns in the recommender system community: diversity, coverage, calibration, and data minimization.

Recommendation Systems