RAMP splits ad prediction into personalized and non-personalized towers, then uses a distillation-style loss to transfer knowledge so non-personalized predictions stay accurate when user features are absent.
Title resolution pending
1 Pith paper cite this work, alongside 2 external citations. Polarity classification is still indexing.
1
Pith paper citing it
2
external citations · OpenAlex
fields
cs.IR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways
RAMP splits ad prediction into personalized and non-personalized towers, then uses a distillation-style loss to transfer knowledge so non-personalized predictions stay accurate when user features are absent.