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20222026
most citedOptimizing Airbnb Search Journey with Multi-task Learning

15 citations · 30 across the 15 of their papers we have counts for

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Showing 2026 · cs.IRShow all

5 papers · 2 filters

cs.IR2026

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation

Haoyu Han, Li Ma, Hanbing Wang +9

Sequential recommendation has increasingly shifted toward generative recommenders that combine sequential patterns with semantic item information. Yet these methods are often evalu…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2026

Applying Embedding-Based Retrieval to Airbnb Search

Mustafa Abdool, Soumyadip Banerjee, Moutupsi Paul +10

The goal of Airbnb search is to match guests with the ideal accommodation that fits their travel needs. This is a challenging problem, as popular search locations can have around a…