Conversion rate (CVR) estimation aims to predict the probability of conversion event after a
user has clicked an ad. Typically, online publisher has user browsing interests and click …

Calibrated recommendation, which aims to maintain personalized proportions of categories
within recommendations, is crucial in practical scenarios since it enhances user satisfaction …

Accurately predicting the probabilities of user feedback, such as clicks and conversions, is
critical for advertisement ranking and bidding. However, there often exist unwanted …

In online advertising, once an ad campaign is deployed, the automated bidding system
dynamically adjusts the bidding strategy to optimize Cost Per Action (CPA) based on the …

In the e-commerce advertising scenario, estimating the true probabilities (known as a
calibrated estimate) on Click-Through Rate (CTR) and Conversion Rate (CVR) is critical …

In online advertising, uncertainty calibration aims to adjust a ranking model's probability
predictions to better approximate the true likelihood of an event, eg, a click or a conversion …