Sequence and Distance Aware Transformer for Recommendation Systems

Transformer has achieved admirable success in sequential tasks. However, the model only considers the order of items in the sequence, not the relative distances, which weakens the relevance between items. To this end, we propose a novel Sequence and Distance Aware Transformer (SDAT) for recommendation systems. Specifically, we first apply the Transformer to handle the interaction between the items...