Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …

Abstract Recommender Systems (RSs) have assumed a crucial role in several digital
companies by directly affecting their key performance indicators. Nowadays, in this era of big …

Learning and development, or L&D, plays an important role in talent management, which
aims to improve the knowledge and capabilities of employees through a variety of …

Recommendation systems have benefited significantly from contextual bandits. Although so
many successful applications and recent advances of contextual bandits to online …

Creative plays a great important role in e-commerce for exhibiting products. Sellers usually
create multiple creatives for comprehensive demonstrations, thus it is crucial to display the …

User interest exploration is an important and challenging topic in recommender systems,
which alleviates the closed-loop effects between recommendation models and user-item …

Recommender Systems (RS) provide an effective way to deal with the problem of
information overload by suggesting relevant items to users that the users may prefer …

Ad creative is one of the main mediums for e-commerce advertising. Ad creative with good
visuals may increase a product's click-through rate (ctr). In recent years, unlike artificially …

Existing model-based interactive recommendation systems are trained by querying a world
model to capture the user preference, but learning the world model from historical logged …

Large-scale online recommendation systems must facilitate the allocation of a limited
number of items among competing users while learning their preferences from user …