SCOUT：面向旅游搜索、感知供给的冷启动主动查询建议
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由大语言模型（LLMs）驱动的生成式查询建议在搜索和对话系统中日益普及，可减少用户操作阻力并引导意图表达。现有方法使建议与用户偏好（如点击或转化）相匹配。这适用于聊天机器人和个人助理等开放式应用，此类应用的结果空间不受限制，或拥有丰富的历史用户自由文本查询数据。然而，将这些方法应用于旅游搜索……
对照原文
SCOUT: Supply-Aware Cold-Start Proactive Query Suggestion for Travel Search
Generative query suggestion, powered by Large Language Models (LLMs), has become increasingly popular in search and conversational systems to reduce user friction and guide intent formulation. Existing approaches align suggestions with user preferences (e.g., clicks or conversions). This works for open-ended applications like chatbots and personal assistants, where the result space is unconstrained or historical user free-text queries are abundant. However, applying these methods to travel searc…
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相关来源
- 01arXiv · AI 文旅预印本原文
arxiv.org