58 citations · 64 across the 7 of their papers we have counts for
9 papers
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…
Learning to Rank for Maps at Airbnb
Malay Haldar, Hongwei Zhang, Kedar Bellare +8
As a two-sided marketplace, Airbnb brings together hosts who own listings for rent with prospective guests from around the globe. Results from a guest's search for listings are dis…
Leveraging Multiple Online Sources for Accurate Income Verification
Chirag Mahapatra, Kedar Bellare
Income verification is the problem of validating a person's stated income given basic identity information such as name, location, job title and employer. It is widely used in the…
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance
Andrew McCallum, Kedar Bellare, Fernando Pereira
The need to measure sequence similarity arises in information extraction, object identity, data mining, biological sequence analysis, and other domains. This paper presents discrim…
Alternating Projections for Learning with Expectation Constraints
Kedar Bellare, Gregory Druck, Andrew McCallum
We present an objective function for learning with unlabeled data that utilizes auxiliary expectation constraints. We optimize this objective function using a procedure that altern…