Using Machine Learning to Predict Value of Homes On Airbnb
Amazing view from a Airbnb Home in Imerovigli, Egeo, Greece IntroductionData products have always been an instrumental part of Airbnb’s service. However, we have long recognized that it’s costly to make data products. For example, personalized search ranking enables guests to more easily discover homes, and smart pricing allows hosts to set more competitive prices according to supply and demand. H
Feature Extraction for Predictive LTV Modeling using Hadoop, Hive, and Cascading - Kontagent
Feature Extraction for Predictive LTV Modeling using Hadoop, Hive, and Cascading - Kontagent Description: One of the biggest challenges for people building data products today is developing and refining features for modeling purposes (i.e. feature extraction) with the volume and variability of web scale data. In this talk, Martin will discuss some of the challenges and solutions faced by Kontagent
1
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
Building Lyft’s Marketing Automation Platform
ASOS Uses Machine Learning To Understand Customer Value
ON customer lifetime value in ecommerce
