How Airbnb’s conversational AI platform powers LLM application development.

Airbnb made it easy to bring data/AI ideas to life through a platform for prototyping web applications.

爱彼迎的整个用户旅程被划分为不同的页面，每个页面都对其自己的PPS值进行测量。为了支持这个基于页面的性能跟踪系统，我们构建了一个标准化的基础架构，使工程师能够配置代表其功能的页面。

在Android上，每个页面都与一个Fragment相关联。每个Fragment都必须提供一个LoggingConfig对象，指定一个页面名称，以便在需要引用页面名称时能够检索到。我们在Fragment的生命周期中收集性能数据，并在Fragment暂停时才发出日志事件。

我们用一个通用的PageName枚举类型标识每个页面，并在所有平台上引用，从而一致地表示我们用户操作中的每个页面。

A deep dive into the streaming aspect of the Lambda architecture framework of Riverbed.

爱彼迎上的整个用户旅程被划分为不同的页面，每个页面都有自己的页面性能分数(PPS)。为了支持这个基于页面的性能跟踪系统，我们建立了一个标准化的基础设施，使工程师能够配置页面和功能的对应关系。

在 iOS 上，页面与 UIViewController相关联。我们在 UIViewController 的生命周期中收集性能数据，在 viewDidDisappear 时发送收集到的日志。我们使用 PageName 作为全局的页面标识符，日志必须存在 PageName 时才能创建或发送。

How the Airbnb Media team built group travel Postcards for the 2024 Summer Release by leveraging a novel destination matching algorithm while advancing the platform’s image & localized text processing capabilities.

An Important Foundation For Security, Privacy, and Compliance at Airbnb.

At Airbnb, Apache Flink was introduced in 2018 as a supplementary solution for stream processing. It ran alongside Apache Spark™ Streaming for several years before transitioning to become the primary stream processing platform. In this blog post, we will delve into the evolution of Flink architecture at Airbnb and compare our prior Hadoop Yarn platform with the current Kubernetes-based architecture. Additionally, we will discuss the efforts undertaken throughout the migration process and explore the challenges that arose during this journey. In the end we will summarize the impact, learnings along the way and future plans.

Incrementally modernizing our frontend infrastructure to roll out the latest React features without downgrades.

Airbnb has made significant strides in improving web accessibility for Hosts and guests who require larger text sizes.

How Airbnb enabled hosts and guests to connect and introduce themselves through the Host Passport.

At Airbnb, we have developed Brandometer, a state-of-the-art natural language understanding (NLU) technique for understanding brand perception based on social media data. Brand perception refers to…

Part three on how we built a Compose based architecture with Mavericks in the Airbnb Android app.

A feature platform that offers observability and management tools, allows ML practitioners to use a variety of data sources, while handling the complexity of data engineering, and provides low latency streaming.

Part two on how we built a Compose based architecture with Mavericks in the Airbnb Android app.

A three part series on how we built a Compose based architecture with Mavericks in the Airbnb Android app