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English(EN) Multilingual Semantic Retrieval for Apple Music Search

Apple Music 通过多语言语义检索系统增强搜索功能

Apple 的机器学习研究团队为 Apple Music 搜索开发了一个新的多语言语义检索系统。该系统基于从 GTE-multilingual-base 微调而来的 3.05 亿参数双编码器构建,显著提高了拼写错误、音译和跨语言查询的搜索召回率。该系统在全球范围内部署后,转化率提升了 2.28%,无结果率降低了 86%,尤其是在不太常见的“长尾”查询方面取得了显著增长。 AI

影响 增强了大型多语言数据集的搜索能力,有望改善音乐流媒体服务的用户体验和发现功能。

排序理由 该集群描述了一篇详细介绍 Apple 机器学习研究团队开发的新系统的研究论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Apple Music 通过多语言语义检索系统增强搜索功能

报道来源 [3]

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

    面向 Apple Music 搜索的多语言语义检索

    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 ·

    面向 Apple Music 搜索的多语言语义检索

    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 ·

    面向 Apple Music 搜索的多语言语义检索

    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,…