ECLIPSE: An extreme-scale linear program solver for web-applications

K Basu, A Ghoting, R Mazumder… - … Conference on Machine …, 2020 - proceedings.mlr.press
Key problems arising in web applications (with millions of users and thousands of items) can
be formulated as linear programs involving billions to trillions of decision variables and …

Ads allocation in feed via constrained optimization

J Yan, Z Xu, B Tiwana, S Chatterjee - Proceedings of the 26th ACM …, 2020 - dl.acm.org
Social networks and content publishing platforms have newsfeed applications, which show
both organic content to drive engagement, and ads to drive revenue. This paper focuses on …

A data‐driven approach to improve online consumer subscriptions by combining data visualization and machine learning methods

E Fernandes, S Moro, P Cortez - International Journal of …, 2024 - Wiley Online Library
Effective online consumer research helps companies on defining a successful strategy to
increase user loyalty and shape brand engagement. Digital innovation introduced a …

Multi-objective optimization of notifications using offline reinforcement learning

P Prabhakar, Y Yuan, G Yang, W Sun… - Proceedings of the 28th …, 2022 - dl.acm.org
Mobile notification systems play a major role in a variety of applications to communicate,
send alerts and reminders to the users to inform them about news, events or messages. In …

Offline reinforcement learning for mobile notifications

Y Yuan, A Muralidharan, P Nandy, M Cheng… - Proceedings of the 31st …, 2022 - dl.acm.org
Mobile notification systems have taken a major role in driving and maintaining user
engagement for online platforms. They are interesting recommender systems to machine …

Should I send this notification? Optimizing push notifications decision making by modeling the future

C O'Brien, H Wu, S Zhai, D Guo, W Shi… - ar**: A modeling approach to nurture content creation
Y Tu, C Lo, Y Yuan, S Chatterjee - Proceedings of the 25th ACM …, 2019 - dl.acm.org
Social media platforms bring together content creators and content consumers through
recommender systems like newsfeed. The focus of such recommender systems has thus far …

Personalized execution time optimization for the scheduled jobs

Y Liu, J Wang, Z Chen, I Fox, I Mufti… - arxiv preprint arxiv …, 2022 - arxiv.org
Scheduled batch jobs have been widely used on the asynchronous computing platforms to
execute various enterprise applications, including the scheduled notifications and the …