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Apple Music enhances search with multilingual semantic retrieval system

Apple's machine learning research team has developed a new multilingual semantic retrieval system for Apple Music search. This system, built on a 305M-parameter bi-encoder fine-tuned from GTE-multilingual-base, significantly improves search recall for misspelled, transliterated, and cross-lingual queries. Deployed globally, the system resulted in a 2.28% conversion rate lift and an 86% reduction in no-result rates, with particularly strong gains for less common "tail" queries. AI

IMPACT Enhances search capabilities for large multilingual datasets, potentially improving user experience and discovery in music streaming services.

RANK_REASON The cluster describes a research paper detailing a new system developed by Apple's ML research team.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Apple Music enhances search with multilingual semantic retrieval system

COVERAGE [3]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    Multilingual Semantic Retrieval for Apple Music Search

    Apple Music serves listeners across 150+ storefronts in dozens of languages, with a catalog that grows by hundreds of thousands of new tracks daily. At this scale, search recall on misspelled, transliterated, and cross-lingual queries becomes a dominant driver of session quality,…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Santosh Shankar ·

    Multilingual Semantic Retrieval for Apple Music Search

    Apple Music serves listeners across 150+ storefronts in dozens of languages, with a catalog that grows by hundreds of thousands of new tracks daily. At this scale, search recall on misspelled, transliterated, and cross-lingual queries becomes a dominant driver of session quality,…

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Santosh Shankar ·

    Multilingual Semantic Retrieval for Apple Music Search

    Apple Music serves listeners across 150+ storefronts in dozens of languages, with a catalog that grows by hundreds of thousands of new tracks daily. At this scale, search recall on misspelled, transliterated, and cross-lingual queries becomes a dominant driver of session quality,…