We study the budget allocation problem in online marketing campaigns that utilize
previously collected offline data. We first discuss the long-term effect of optimizing marketing …

We introduce the BL model and the Perspective Matrix to optimize supplier selection and
order allocation, focusing on both temporal and spatial dynamics. Our development of a …

With the rapid development of the airline industry, maximizing the market share with a
constrained budget is an urgent econometric problem for an airline. We investigate the …

Many US metropolitan cities are notorious for their severe shortage of parking spots. To this
end, we present a proactive prediction-driven optimization framework to dynamically adjust …

Course recommendation is vital for improving students' learning efficiency. In the learning
process, students' interests evolve, learning cycles and course scheduling are closely …

Network embedding is a technique used to generate low-dimensional vectors representing
each node in a network while maintaining the original topology and properties of the …

Influence maximization (IM), a central issue in optimizing information diffusion on social
platforms, aims to spread posts or comments more widely, rapidly, and efficiently. Existing …

In many real-world applications such as social network analysis and online
marketing/advertising, the community detection is a fundamental task to identify communities …

While DNNs achieve over-human performances in a number of areas, it is often
accompanied by the skyrocketing computational costs. Co-exploration of an optimal neural …