58 citations · 64 across the 7 of their papers we have counts for
5 papers · 1 filter
SIFT: Search Intent-to-Filter Transformer for Multi-Task Personalized Filter Ranking at Airbnb
Shashank Dabriwal, Tanya Piplani, Hao Li +4
Search filters help guests navigate vast catalogs in two-sided marketplaces like Airbnb, and recommending the right filters can meaningfully lift booking conversion. Many such prod…
SCOUT: Supply-Aware Cold-Start Proactive Query Suggestion for Travel Search
Hao Li, Shashank Reddy, Kedar Bellare +2
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…
CASTLE: Contrastive and Seed-Guided Training for Cold-Start Natural Language Search
Wendy Ran Wei, Hao Li, Weiwei Guo +9
Deploying natural language search systems presents a critical cold-start challenge: no real user queries to learn linguistic patterns, and no relevance labels to train ranking mode…
Recommending Search Filters To Improve Conversions At Airbnb
Hao Li, Kedar Bellare, Siyu Yang +4
Airbnb, a two-sided online marketplace connecting guests and hosts, offers a diverse and unique inventory of accommodations, experiences, and services. Search filters play an impor…
High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace
Dillon Davis, Huiji Gao, Thomas Legrand +8
Airbnb search must balance a worldwide, highly varied supply of homes with guests whose location, amenity, style, and price expectations differ widely. Meeting those expectations h…