Ghost reduces popularity bias in generative recommenders through asymmetric unlikelihood optimization and skeleton-founded tokenization.
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
Ghost reduces popularity bias in generative recommenders through asymmetric unlikelihood optimization and skeleton-founded tokenization.