用历史搜索精准匹配用户当前意图，优化音乐搜索排序效果。
PIANO: Personalized Reranking via Information Aggregation Node for Music Search Optimization
- 通过跨注意力机制融合历史查询，对齐用户长期偏好与当前意图。
- 在网易云音乐上线测试中，点击率提升0.62%，转化率提升4.45%。
- 适合追求多目标优化和个性化排序的音乐推荐系统开发者。
与短视频内容不同，音乐作品具有长生命周期和持久价值。有效的音乐搜索重排需同时兼顾用户当前查询与长期偏好，并联合优化点击率（CTR）与转化率（CVR）。现有方法存在两大局限：(1) 序列化方法依赖物品交互历史，无法利用历史搜索查询来判断过去偏好是否匹配当前搜索意图；(2) 多数列表级模型仅优化单一目标（如仅优化CTR），传统多目标方法在物品层面平衡点击与转化，忽略了整个排序列表上的权衡关系。为此，我们提出PIANO，一种个性化的列表级重排框架，包含两个核心组件：(i) 查询驱动的兴趣精炼器（QDIR），通过历史查询的交叉注意力对齐过去意图与当前意图；(ii) 信息聚合节点（IAN），一个可学习的[CLS]-风格标记，用于聚合候选列表并预测整体列表级别的CTR/CVR。在公开与工业数据集上的大量实验表明，该方法持续优于强基线模型。在网易云音乐平台的线上A/B测试中，PIANO实现了统计显著的提升：点击率提高0.62%，转化率提高4.45%。
原文摘要 · Abstract (English)
Unlike short-video content, music tracks have long lifecycles and lasting value. Effective music search re-ranking must therefore align the user's current query with long-term preferences while jointly optimizing Click-Through Rate (CTR) and Conversion Rate (CVR). However, existing methods suffer from two limitations: (1) sequential methods rely on item-interaction history and therefore cannot use historical search queries to tell which past preferences match the user's current search intent; (2) most listwise models optimize a single objective (e.g., CTR only), and conventional multi-objective methods balance click and conversion at the item level, ignoring how these trade-offs play out across the whole ranked list. To address these limitations, we propose PIANO, a personalized listwise re-ranking framework with two key components: (i) the Query-Driven Interest Refiner (QDIR) uses cross-attention over historical queries to align past intents with the current one; (ii) the Information Aggregation Node (IAN), a learnable [CLS]-style token, aggregates the candidate list and predicts CTR/CVR at the list level. Extensive experiments on public and industrial datasets show consistent gains over strong baselines. In online A/B tests on NetEase Cloud Music, a leading music streaming platform, PIANO achieves statistically significant improvements in CTR (+0.62%) and CVR (+4.45%).
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