Cross-domain Semantic IDs from organic feed activity, quantized via RQ-FSQ, improve industrial ads CTR prediction with gains up to +0.351% AUC at 30x smaller storage.
CADET: Context-conditioned ads CTR prediction with a decoder-only transformer.arXiv preprint arXiv:2602.11410, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.IR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
UniPinRec unifies retrieval and ranking into a single model and pipeline deployed at Pinterest, reporting +1% engagement lift, 11.1% lower latency, and 63.6% higher QPS.
citing papers explorer
-
Quantizing Intent: Cross-Domain Semantic IDs from Organic Activity for Industrial Ranking
Cross-domain Semantic IDs from organic feed activity, quantized via RQ-FSQ, improve industrial ads CTR prediction with gains up to +0.351% AUC at 30x smaller storage.
-
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
UniPinRec unifies retrieval and ranking into a single model and pipeline deployed at Pinterest, reporting +1% engagement lift, 11.1% lower latency, and 63.6% higher QPS.