2026年2月，苹果研究团队发布报告称，通过微调30亿参数大语言模型（LLM），自动生成数百万文本相关性标签，优化App Store搜索排名系统。该模型学习人工评判标准，精准匹配用户搜索词与应用元数据（名称、描述、关键词）。在全量A/B测试中，89%地区转化率提升0.24%，按2025年预估380亿次下载计算，相当于新增数千万次下载。此举突破了传统依赖行为数据、缺乏语义标签的瓶颈。
Source Link2026年2月，苹果研究团队发布报告称，通过微调30亿参数大语言模型（LLM），自动生成数百万文本相关性标签，优化App Store搜索排名系统。该模型学习人工评判标准，精准匹配用户搜索词与应用元数据（名称、描述、关键词）。在全量A/B测试中，89%地区转化率提升0.24%，按2025年预估380亿次下载计算，相当于新增数千万次下载。此举突破了传统依赖行为数据、缺乏语义标签的瓶颈。
Source LinkDisclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.