output
20172026
most citedLow-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California

50 citations

6 papers

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.LG2025

BiListing: Modality Alignment for Listings

Guillaume Guy, Mihajlo Grbovic, Chun How Tan +1

Airbnb is a leader in offering travel accommodations. Airbnb has historically relied on structured data to understand, rank, and recommend listings to guests due to the limited cap…

cs.IR2025★ 2 cited

Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking

Qing Zhang, Alex Deng, Michelle Du +3

Evaluation plays a crucial role in the development of ranking algorithms on search and recommender systems. It enables online platforms to create user-friendly features that drive…

cs.IR2024★ 11 cited

Multi-objective Learning to Rank by Model Distillation

Jie Tang, Huiji Gao, Liwei He +1

In online marketplaces, search ranking's objective is not only to purchase or conversion (primary objective), but to also the purchase outcomes(secondary objectives), e.g. order ca…

stat.AP2019★ 50 cited

Low-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California

Lena Weissert, Kyle Alberti, Elaine Miles +8

The development of low-cost sensors and novel calibration algorithms offer new opportunities to supplement existing regulatory networks to measure air pollutants at a high spatial…

cs.SI2017★ 6 cited

iPhone's Digital Marketplace: Characterizing the Big Spenders

Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello +2

With mobile shopping surging in popularity, people are spending ever more money on digital purchases through their mobile devices and phones. However, few large-scale studies of mo…