Marketing is an important mechanism to increase user engagement and improve platform
revenue, and heterogeneous causal learning can help develop more effective strategies …

As a key component in online marketing, uplift modeling aims to accurately capture the
degree to which different treatments motivate different users, such as coupons or discounts …

Promotions and discounts are essential components of modern e-commerce platforms,
where they are often used to incentivize customers towards purchase completion …

Recommender systems are vulnerable to injective attacks, which inject limited fake users
into the platforms to manipulate the exposure of target items to all users. In this work, we …

Recommender systems learn personalized user preferences from user feedback like clicks.
However, user feedback is usually biased towards partially observed interests, leaving many …

Online platforms often incentivize consumers to improve user engagement and platform
revenue. Since different consumers might respond differently to incentives, individual-level …

Currently, many e-commerce websites issue online/electronic coupons as an effective tool
for promoting sales of various products and services. We focus on the problem of optimally …

Marketing optimization plays an important role to enhance user engagement in online
Internet platforms. Existing studies usually formulate this problem as a budget allocation …

Budget allocation across multiple advertising channels involves periodically dividing a fixed
total budget among various channels. Yet, the challenge of making sequential decisions to …

Efficiently allocating treatments with a budget constraint constitutes an important challenge
across various domains. In marketing, for example, the use of promotions to target potential …