Automatic Historical Feature Generation through Tree-based Method in Ads Prediction

no code implementations • 31 Dec 2020 • Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li

Historical features are important in ads click-through rate (CTR) prediction, because they account for past engagements between users and ads.

Click-Through Rate Prediction

Managing Diversity in Airbnb Search

no code implementations • 31 Mar 2020 • Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Thomas Legrand

One of the long-standing questions in search systems is the role of diversity in results.

Improving Deep Learning For Airbnb Search

no code implementations • 10 Feb 2020 • Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Bradley Turnbull, Junshuo Liao

In this paper we describe the journey beyond, discussing what we refer to as the ABCs of improving search: A for architecture, B for bias and C for cold start.