AIBullisharXiv – CS AI · Feb 276/106
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Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
Apple's App Store search team successfully implemented LLM-generated textual relevance labels to augment their ranking system, addressing data scarcity issues. A fine-tuned specialized model outperformed larger pre-trained models, generating millions of labels that improved search relevance. This resulted in a statistically significant 0.24% increase in conversion rates in worldwide A/B testing.