Yu-Jin Ju

Exposure-Aware Gated Refinement for Balancing Accuracy and Coverage in Closed-Loop Sequential Recommendation

Sequential recommendation aims to predict the next item from a user’s past interaction sequence, and has largely advanced around how accurately the ground-truth item is ranked. In practice, however, a recommendation list influences subsequent user behavior and item exposure, forming a closed-loop feedback process. As t...