OneSug统一生成电商搜索建议，提升点击率与转化率。
OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
- 端到端生成框架，整合前缀增强与生成模型
- 线上部署后点击位置提升9.33%，转化率增2.01%
- 适合关注电商搜索优化与推荐系统落地的工程师
查询建议在电商搜索系统中至关重要，能根据用户初始输入提供相关推荐，帮助用户快速定位需求、减少输入负担。传统方法多采用多阶段级联架构，在响应速度与商业转化间权衡，但因各阶段目标不一致，常导致效率低下和性能不佳。为此，我们提出OneSug——首个面向电商查询建议的端到端生成框架。该框架包含前缀到查询的表示增强模块，通过语义与交互相关查询丰富前缀信息；一个编码器-解码器生成模型，统一建议流程；以及基于行为级权重的奖励加权排序策略，捕捉细粒度用户偏好。在大规模工业数据集上的实验表明，OneSug具备高效精准的建议能力。此外，已在快手平台全量上线超过一个月，相比原有多阶段策略，用户顶部点击位置下降9.33%，点击率提升2.01%，订单量增长2.04%，收入增加1.69%，显著提升商业转化潜力。
原文摘要 · Abstract (English)
Query suggestion plays a crucial role in enhancing user experience in e-commerce search systems by providing relevant query recommendations that align with users' initial input. This module helps users navigate towards personalized preference needs and reduces typing effort, thereby improving search experience. Traditional query suggestion modules usually adopt multi-stage cascading architectures, for making a well trade-off between system response time and business conversion. But they often suffer from inefficiencies and suboptimal performance due to inconsistent optimization objectives across stages. To address these, we propose OneSug, the first end-to-end generative framework for e-commerce query suggestion. OneSug incorporates a prefix2query representation enhancement module to enrich prefixes using semantically and interactively related queries to bridge content and business characteristics, an encoder-decoder generative model that unifies the query suggestion process, and a reward-weighted ranking strategy with behavior-level weights to capture fine-grained user preferences. Extensive evaluations on large-scale industry datasets demonstrate OneSug's ability for effective and efficient query suggestion. Furthermore, OneSug has been successfully deployed for the entire traffic on the e-commerce search engine in Kuaishou platform for over 1 month, with statistically significant improvements in user top click position (-9.33%), CTR (+2.01%), Order (+2.04%), and Revenue (+1.69%) over the online multi-stage strategy, showing great potential in e-commercial conversion.
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