AIBullishApple Machine Learning · Feb 274/103
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Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
Researchers developed a method to improve app store search relevance by using large language models to generate textual relevance judgments, addressing the scarcity of expert-labeled data. A specialized fine-tuned model significantly outperformed general-purpose LLMs in evaluating semantic fit between queries and results.