CASTLE: training natural language search before the first real query

How we addressed the cold-start problem for Airbnb’s natural language search by jointly generating synthetic training data — queries and relevance labels — from de-identified booking and search signals. By : Wendy Ran Wei , Hao Li , Weiwei Guo , Xiaowei Liu , Xueyin Chen , Chun How Tan , Malay Haldar , Soumyadip Banerjee , Kedar Bellare , Huiji Gao , Sanjeev Katariya , and Stephanie Moyerman Introduction Natural language search lets guests express intent in their own words, such as “romantic cabin near skiing” or “pet-friendly beach house that sleeps eight,” rather than navigating filters and

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