AI 中文总结
InitGen是部署于OPPO小布助手的候选生成框架，通过加权偏好优化对齐用户反馈，将点击率提升69.1%，曝光量增加17.9%，并在180毫秒内生成完整候选集。
AI 中文摘要
交互启动是指在用户打开智能助手且尚未表达当前会话的任何意图时，呈现多个候选查询。在生产环境中，候选生成需结合动态上下文，并在严格的延迟预算内生成所有候选。从用户反馈中学习也很困难，因为生成器通常生成的候选数量多于最终展示的数量。经过下游过滤和排序后，只有一部分候选会展示给用户，因此观察到的反馈是部分的，无法可靠地归因于单个查询。我们提出了InitGen，一个候选生成框架，已部署在OPPO小布助手的交互启动流程中。InitGen联合生成一组候选查询，并通过加权偏好优化将生成的集合与用户反馈对齐。样本权重来源于用户活跃度和下游排序分数。活跃度权重减少了训练中高活跃用户的支配地位，而排序分数则作为观察反馈可靠性的实用估计。InitGen还采用滚动窗口更新策略，将近期交互数据纳入周期性模型更新。在与强生产基线的在线A/B测试中，InitGen将点击率从0.95%提升至1.61%，相对提升69.1%，并在相同流量分配下将查询曝光量增加了17.9%。InitGen在180毫秒内生成完整候选集，并已全面部署于OPPO小布助手，该助手服务超过1.5亿月活跃用户。
英文摘要
Interaction initiation refers to presenting multiple candidate queries when a user opens an intelligent assistant before expressing any intent for the current session. In production, candidate generation incorporates dynamic context and produces all candidates within a strict latency budget. Learning from user feedback is also difficult since the generator usually produces more candidates than are finally displayed. After downstream filtering and ranking, only a subset is exposed to users, so the observed feedback is partial and cannot be reliably assigned to individual queries. We present InitGen, a framework for candidate generation that is deployed in the interaction initiation pipeline of OPPO's Xiaobu Assistant. InitGen generates a set of candidate queries jointly and aligns the generated set with user feedback through weighted preference optimization. The sample weights are derived from user activity and downstream ranking scores. The activity weight reduces the dominance of highly active users during training, while the ranking score is used as a practical estimate of the reliability of the observed feedback. InitGen also uses a rolling window update strategy to incorporate recent interaction data into periodic model updates. In an online A/B test against a strong production baseline, InitGen improves the click-through rate from 0.95% to 1.61%, corresponding to a relative improvement of 69.1%, and increases query exposure by 17.9% under the same traffic allocation. InitGen generates the complete candidate set within 180 ms and has been fully deployed in OPPO's Xiaobu Assistant, which serves over 150 million monthly active users.
