Researchers used large language models to generate textual relevance labels for app store searches, overcoming the scarcity of expert-provided labels and improving search relevance metrics. This approach led to a significant increase in conversion rates during an A/B test, particularly enhancing performance for less common search queries.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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Ali NematiWritten by Ali
