Marina Munkhoeva

A Redundancy Reduction Approach for Controllable Sequential Recommendations

This work proposes a decorrelation-regularized training framework that augments next-item prediction with an auxiliary redundancy-reduction term, and instantiate it with BT-SR, which uses the Barlow Twins objective to form label-consistent positive pairs without synthetic corruptions.