By Jan Overgoor Airbnb is an online two-sided marketplace that matches people who rent out their homes (‘hosts’) with people who are looking for a place to stay (‘guests’). We use controlled experiments to learn and make decisions at every step of product development, from design to algorithms. They are equally important in shaping the user experience. While the basic principles behind controlled
By Will Moss At Airbnb we are always trying to learn more about our users and improve their experience on the site. Much of that learning and improvement comes through the deployment of controlled experiments. If you haven’t already read our other post about experimentation I highly recommend you do it, but I will summarize the two main points: (1) running controlled experiments is the best way to
At Disney Streaming, we strive to make quality decisions about which features to ship based on the results of rigorous A/B experiments, or online randomized control trials. A/B experiments are well-suited for driving individual product feature decisions. We typically design A/B experiments with the following things in mind: The change is assumed to be risky. We design experiments to sample as few
Much has been written about the 10x — heck, 100x — engineer. The mystical creature that ships features in hours instead of months and perseveres where others back down. Corny as it may sound, I think it’s a pretty good representation of how the world works. But does the 10x analyst exist? I believe so. How about the 100x analyst? I’m not sure. From 1x to 100x analystTake two people — Entry-level E
“Data is the new oil” — a statement that has underscored our approach to data management over the past decade. We’ve dedicated ourselves to gathering, processing, and analyzing vast volumes of data to fuel our journey towards becoming a data-driven organization. However, with the rise of ChatGPT, collecting over 1 million users in just 5 days, the landscape has shifted. This phenomenon has sparked
Firefox illustration by UX designer Gabrielle LussierLike many people who work at Mozilla, I’m inspired by the organization’s mission: to ensure the Internet is a global public resource, open and accessible to all. In thinking about the team I belong to, though, what’s our piece of this bigger puzzle? The Firefox User Research team tackled this question early last year. We gathered in person for a
これは Kaggle Advent Calendar 2023 12/10 の記事です。 ディープラーニングでは何を考えたらいいのか?「モデルの気持ち」などと言いますが、もっと具体的にどういうことなのか?私も素人でわからないのですが、今年参加したコンペで読んだ solution を題材に「情報を与える」という観点からモデルの気持ちを推測してみます。 「それ、俺も書いたが?」みたいなのはたくさんあるかと思いますが advent calendar ゆえどうかご容赦を。記憶をたよりに雑に書いて調べ直していません。 Classification の根拠を segmentation で与えるG2Net 2 Detecting Continuous Gravitational Waves はノイズに埋もれたデータに重力波の信号が含まれているかを判定する二項分類のコンペでした。入力は spectrogr
Data engineering at Meta: High-Level Overview of the internal tech stack This article provides an overview of the internal tech stack that we use on a daily basis as data engineers at Meta. The idea is to shed some light on the work we do, and how the tools and frameworks contribute to making our day-to-day data engineering work more efficient, and to share some of the design decisions and technic
Self-service Business Intelligence (BI) is just around the corner, right? 25 years ago, we needed the right BI tool. 10 years ago, we needed a better tool. No, we need a great tool AND data literacy! Forget it, the business users will just never get it… From the business user perspective, can I trust this data? How is this field calculated? Is the data fresh? Where does this field come from? What
私は,あるスタートアップ企業でエンジニアリングマネージャー(の,1人)をしている。toB向けSaaSを提供している数百名規模の会社で,社名が少しずつ世の中に知られるようになってきたくらいのフェーズ。会社からはDirectorという肩書をもらっていて,トラディショナルな日本企業だといわゆる部門長の層にあたる。中間管理職の中では上のほうで,執行役員の下あたり,というと伝わりやすいだろうか。 様々な事情(会社が大きくなった,比較的社歴が長い,そこそこの業界経験値がある,自分の専門領域(*1)に社内のフォーカスがあたるようになり,チームをスケールする必要が出てきた,etc.)から,半ば必要にかられて,重い腰を上げてエンジニアリングマネージャーとして活動を始めたのがちょうど1年ほど前。 決してマネージャーとして早咲きのほうではなく,IT業界でのキャリアは15年くらいで,これまではずっとプレイヤー,ま
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く