Bayesian optimization for policy search via online-offline experimentation

B Letham, E Bakshy - Journal of Machine Learning Research, 2019 - jmlr.org
Online field experiments are the gold-standard way of evaluating changes to real-world
interactive machine learning systems. Yet our ability to explore complex, multi-dimensional …

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 methodology for the offline evaluation of recommender systems in a user interface with multiple carousels

N Felicioni, M Ferrari Dacrema… - Adjunct Proceedings of the …, 2021 - dl.acm.org
Many video-on-demand and music streaming services provide the user with a page
consisting of several recommendation lists, ie, widgets or swipeable carousels, each built …

Page-level optimization of e-commerce item recommendations

C Lo, H Yu, X Yin, K Shetty, C He, K Hu… - Proceedings of the 15th …, 2021 - dl.acm.org
The item details page (IDP) is a web page on an e-commerce website that provides
information on a specific product or item listing. Just below the details of the item on this …

Email volume optimization at LinkedIn

R Gupta, G Liang, HP Tseng, RK Holur Vijay… - Proceedings of the …, 2016 - dl.acm.org
Online social networking services distribute various types of messages to their members.
Common types of messages include news, connection requests, membership notifications …

Whole page optimization with global constraints

W Ding, D Govindaraj, SVN Vishwanathan - Proceedings of the 25th …, 2019 - dl.acm.org
The Amazon video homepage is the primary gateway for customers looking to explore the
large collection of content, and finding something interesting to watch. Typically, the page is …

Measuring the user satisfaction in a recommendation interface with multiple carousels

N Felicioni, M Ferrari Dacrema… - Proceedings of the 2021 …, 2021 - dl.acm.org
It is common for video-on-demand and music streaming services to adopt a user interface
composed of several recommendation lists, ie, widgets or swipeable carousels, each …

Ranking with Slot Constraints

W Guo, A Wang, B Thymes, T Joachims - Proceedings of the 30th ACM …, 2024 - dl.acm.org
Rankings are increasingly used as part of human decision-making processes to most
effectively allocate reviewing resources. Many of these processes have complex constraints …

Recommendation with capacity constraints

K Christakopoulou, J Kawale, A Banerjee - Proceedings of the 2017 …, 2017 - dl.acm.org
In many recommendation settings, the candidate items for recommendation are associated
with a maximum capacity, ie, number of seats in a Point-of-Interest (POI) or number of item …

An efficient combinatorial optimization model using learning-to-rank distillation

H Woo, H Lee, S Cho - Proceedings of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Recently, deep reinforcement learning (RL) has proven its feasibility in solving combinatorial
optimization problems (COPs). The learning-to-rank techniques have been studied in the …