Conversion rate (CVR) prediction is an essential task for e-commerce platforms. However,
refunds frequently occur after conversion in online shop** systems, which drives us to pay …

Standard domain adaptation methods do not work well when a large gap exists between the
source and target domains. Gradual domain adaptation is one of the approaches used to …

Click-through rate (CTR) prediction is a critical task in recommendation systems, serving as
the ultimate filtering step to sort items for a user. Most recent cutting-edge methods primarily …

In domain adaptation, when there is a large distance between the source and target
domains, the prediction performance will degrade. Gradual domain adaptation is one of the …

Current recommendation systems are significantly affected by a serious issue of temporal
data shift, which is the inconsistency between the distribution of historical data and that of …

In domain adaptation, when there is a large distance between the source and target
domains, the prediction performance will degrade. Gradual domain adaptation is one of the …