We tackle tag-based query refinement as a mobile-friendly alternative to standard facet search. We approach the inference challenge with reinforcement learning, and propose a deep contextual bandit that can be efficiently scaled in a multi-tenant SaaS scenario.
翻译:我们处理基于标签的查询改进问题,以此作为标准面板搜索的移动友好替代方法。 我们通过强化学习来应对推论挑战,并提议一个在多租户SaaS情景下可以有效缩放的深背景土匪。