Author

Airbnb Technology Team

Official account of the Airbnb Technology Team, sharing Airbnb's tech innovations and real-world implementations, building a world where home is everywhere through technology.

Articles

Likes

243

Views

Comments

Latest from Airbnb Technology Team

50 recent articles

Airbnb Technology Team

Apr 15, 2024 · Artificial Intelligence

Airbnb's Attribute Prioritization System: Machine Learning for Extracting Guest Preferences from Unstructured Text

Airbnb’s Attribute Prioritization System uses a machine‑learning pipeline called LATEX to extract and map guest‑mentioned amenities, activities and places from reviews, messages and tickets, then predicts and ranks the most important attributes per listing, giving hosts personalized suggestions to improve listings and match traveler needs.

AirbnbNERNLP

0 likes · 9 min read

Airbnb's Attribute Prioritization System: Machine Learning for Extracting Guest Preferences from Unstructured Text

Airbnb Technology Team

Mar 1, 2024 · Big Data

Riverbed: A Scalable Data Framework for Real‑time and Batch Processing at Airbnb

Airbnb’s Riverbed framework unifies streaming CDC events and batch Spark jobs behind a GraphQL‑based declarative API to automatically build and maintain distributed materialized views, using Kafka‑partitioned ordering and version control to deliver billions of daily updates with low‑latency reads for features such as payments and search.

AirbnbApache SparkData Engineering

0 likes · 8 min read

Riverbed: A Scalable Data Framework for Real‑time and Batch Processing at Airbnb

Airbnb Technology Team

Jan 31, 2024 · Artificial Intelligence

Airbnb’s Listing Attribute Extraction Platform (LAEP): End-to-End Structured Information Extraction Using Machine Learning and NLP

Airbnb’s Listing Attribute Extraction Platform (LAEP) uses a custom NER model, word‑embedding mapping, and a BERT‑based scorer to automatically pull, normalize, and validate structured attributes from hosts’ unstructured text, boosting coverage for downstream tools and enhancing guest‑host matching at scale.

AirbnbBERTNER

0 likes · 11 min read

Airbnb’s Listing Attribute Extraction Platform (LAEP): End-to-End Structured Information Extraction Using Machine Learning and NLP

Airbnb Technology Team

Dec 8, 2023 · Artificial Intelligence

Leveraging Image Aesthetics and Photo Sorting Algorithms to Enhance Airbnb Listings

Airbnb’s new computer‑vision pipeline trains a deep‑learning aesthetic model with an EMD loss to rank photos, automatically sorts new‑listing images by design and room type, and scales real‑time similarity search via HNSW‑based ANN on AWS OpenSearch, boosting click‑through, bookings, and enabling unsupervised visual recommendations.

AirbnbDeep LearningEmbedding Search

0 likes · 9 min read

Leveraging Image Aesthetics and Photo Sorting Algorithms to Enhance Airbnb Listings

Airbnb Technology Team

Nov 17, 2023 · Mobile Development

Airbnb’s Journey from Epoxy/UIKit to SwiftUI: Evaluation, Migration, and Lessons Learned

Airbnb’s three‑stage migration from its custom Epoxy/UIKit stack to SwiftUI involved extensive evaluation, rebuilding the design system with flexible style protocols, bridging UIKit and SwiftUI, adopting one‑way data flow, extensive testing and training, resulting in six‑fold code reduction, comparable performance, widespread production adoption, and higher developer productivity despite remaining framework challenges.

AirbnbDeclarative UIEpoxy

0 likes · 17 min read

Airbnb’s Journey from Epoxy/UIKit to SwiftUI: Evaluation, Migration, and Lessons Learned

Airbnb Technology Team

Sep 22, 2023 · Backend Development

Improving Page Performance with HTTP Streaming: Airbnb’s Early Flush Implementation

Airbnb boosted page performance by implementing HTTP streaming with an early‑flush strategy that sends the head chunk first, allowing browsers to start loading CSS and JavaScript while the server fetches data, cutting First Contentful Paint by roughly 100 ms despite challenges like tag handling, buffering, and latency.

Early FlushHTTP streamingNode.js

0 likes · 11 min read

Improving Page Performance with HTTP Streaming: Airbnb’s Early Flush Implementation

Airbnb Technology Team

Aug 3, 2023 · Artificial Intelligence

Improving Airbnb Search Ranking Diversity with Neural Networks

Airbnb upgraded its neural‑network ranking system by adding a similarity network that penalizes duplicate‑like listings, enabling the algorithm to present a more diverse set of options, which boosted booking rates, value, and five‑star ratings, demonstrating that reduced result similarity improves overall search quality.

AirbnbDiversityNeural Network

0 likes · 8 min read

Improving Airbnb Search Ranking Diversity with Neural Networks

Airbnb Technology Team

May 23, 2023 · Artificial Intelligence

Applying Text Generation Models to Scalable Customer Support at Airbnb

Airbnb replaced its XLM‑RoBERTa ranking with an MT5 encoder‑decoder for content recommendation, built a real‑time generative assistant for reply suggestions and intent detection, and deployed a T5‑based paraphrase chatbot, showing that large‑scale pre‑trained transformers improve relevance, agent efficiency, and user satisfaction.

AIAirbnbCustomer Support

0 likes · 12 min read

Applying Text Generation Models to Scalable Customer Support at Airbnb

Airbnb Technology Team

Mar 17, 2023 · Information Security

Airbnb Data Privacy and Security Engineering: Automated Data Protection Service Overview

Airbnb’s Data Protection Service unifies privacy and security metadata, offering APIs that automate annotation verification, export and IDL validation, data‑subject‑rights orchestration, and secret‑leak detection, while assigning ownership, minimizing manual effort, and ensuring global, consistent compliance across the platform.

AirbnbCI checksSecurity Engineering

0 likes · 13 min read

Airbnb Data Privacy and Security Engineering: Automated Data Protection Service Overview

Airbnb Technology Team

Jan 11, 2023 · Cloud Native

Viaduct: A Data‑Oriented Service Mesh for Modern SOA

Viaduct, Airbnb’s data‑oriented service mesh built on GraphQL, replaces traditional procedural meshes by centralizing a schema that routes queries across thousands of micro‑services, enabling fine‑grained data access, serverless derived fields, automatic schema propagation, and improved observability, now handling most of Airbnb’s API traffic.

Data-Oriented ArchitectureGraphQLMicroservices

0 likes · 8 min read

Viaduct: A Data‑Oriented Service Mesh for Modern SOA