7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 1 cited
Should I send this notification? Optimizing push notifications decision making by modeling the future
Conor O'Brien, Huasen Wu, Shaodan Zhai +3
Most recommender systems are myopic, that is they optimize based on the immediate response of the user. This may be misaligned with the true objective, such as creating long term u…
cs.LG2022★ 3 cited
Challenges and approaches to privacy preserving post-click conversion prediction
Conor O'Brien, Arvind Thiagarajan, Sourav Das +5
Online advertising has typically been more personalized than offline advertising, through the use of machine learning models and real-time auctions for ad targeting. One specific t…
cs.IR2021★ 7 cited
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
Conor O'Brien, Kin Sum Liu, James Neufeld +2
Industrial recommender systems are frequently tasked with approximating probabilities for multiple, often closely related, user actions. For example, predicting if a user will clic…