Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Tomo LazovichLuca BelliAaron GonzalesAmanda BowerUthaipon TantipongpipatKristian LumFerenc HuszárRumman ChowdhuryPublished in: Patterns (2023)
Keyphrases
- recommendation algorithms
- recommender systems
- collaborative filtering
- collaborative filtering recommendation
- co occurrence
- recommendation systems
- information retrieval systems
- image segmentation
- image sequences
- image data
- user generated content
- user generated
- item based collaborative filtering
- semantic similarity measure