25 citations · 25 across the 2 of their papers we have counts for
5 papers
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Paramveer Dhillon, Sinan Aral
In recent years, there has been significant interest in understanding users' online content consumption patterns. But, the unstructured, high-dimensional, and dynamic nature of suc…
Reducing Interference Bias in Online Marketplace Pricing Experiments
David Holtz, Ruben Lobel, Inessa Liskovich +1
Online marketplace designers frequently run A/B tests to measure the impact of proposed product changes. However, given that marketplaces are inherently connected, total average tr…
Limiting Bias from Test-Control Interference in Online Marketplace Experiments
David Holtz, Sinan Aral
In an A/B test, the typical objective is to measure the total average treatment effect (TATE), which measures the difference between the average outcome if all users were treated a…
The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify
David Holtz, Benjamin Carterette, Praveen Chandar +3
It remains unknown whether personalized recommendations increase or decrease the diversity of content people consume. We present results from a randomized field experiment on Spoti…
Scalable bundling via dense product embeddings
Madhav Kumar, Dean Eckles, Sinan Aral
Bundling, the practice of jointly selling two or more products at a discount, is a widely used strategy in industry and a well examined concept in academia. Historically, the focus…