The digital transformation in health: How AI can improve the performance of health systems
Á Periáñez, A Fernández Del Río, I Nazarov… - Health Systems & …, 2024 - Taylor & Francis
Mobile health has the potential to revolutionize health care delivery and patient
engagement. In this work, we discuss how integrating Artificial Intelligence into digital health …
engagement. In this work, we discuss how integrating Artificial Intelligence into digital health …
Evaluating online bandit exploration in large-scale recommender system
Bandit learning has been an increasingly popular design choice for recommender system.
Despite the strong interest in bandit learning from the community, there remains multiple …
Despite the strong interest in bandit learning from the community, there remains multiple …
Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints
The multi-armed bandits (MAB) framework is widely used for sequential decision-making
under uncertainty, finding applications in various domains, including computer and …
under uncertainty, finding applications in various domains, including computer and …
Bandit learning-based distributed computation in fog computing networks: A survey
H Tran-Dang, KH Kwon, DS Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Fog computing is a decentralized computing infrastructure that extends the capabilities of
cloud computing closer to the edge of the network. In a fog computing network (FCN) …
cloud computing closer to the edge of the network. In a fog computing network (FCN) …
Adaptive experimentation with delayed binary feedback
Conducting experiments with objectives that take significant delays to materialize (eg
conversions, add-to-cart events, etc.) is challenging. Although the classical “split sample …
conversions, add-to-cart events, etc.) is challenging. Although the classical “split sample …
Automated bidding and budget optimization for performance advertising campaigns
We present an approach to automate the bidding and budgeting of multi-unit digital
advertising campaigns. Such campaigns typically involve groups of ad-units that span …
advertising campaigns. Such campaigns typically involve groups of ad-units that span …
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce
S Putatunda, A Bhowmik, G Thiruvenkadam… - arXiv preprint arXiv …, 2023 - arxiv.org
According to the literature, Product reviews are an important source of information for
customers to support their buying decision. Product reviews improve customer trust and …
customers to support their buying decision. Product reviews improve customer trust and …
Representative Arm Identification: A fixed confidence approach to identify cluster representatives
S Gharat, A Yadav, N Karamchandani… - arXiv preprint arXiv …, 2024 - arxiv.org
We study the representative arm identification (RAI) problem in the multi-armed bandits
(MAB) framework, wherein we have a collection of arms, each associated with an unknown …
(MAB) framework, wherein we have a collection of arms, each associated with an unknown …
Advertising Media and Target Audience Optimization via High-dimensional Bandits
W Ba, JM Harrison, HS Nair - arXiv preprint arXiv:2209.08403, 2022 - arxiv.org
We present a data-driven algorithm that advertisers can use to automate their digital ad-
campaigns at online publishers. The algorithm enables the advertiser to search across …
campaigns at online publishers. The algorithm enables the advertiser to search across …
[图书][B] Sequential Interactions in Online Platforms
W Ba - 2022 - search.proquest.com
The conduct of business has been revolutionized by rapid technological progress, including
technologies for tracking, bidding, and computing in real-time. To survive and succeed in …
technologies for tracking, bidding, and computing in real-time. To survive and succeed in …