#long-tail-items News & Analysis

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation

Researchers propose H2Rec, a novel framework that combines Semantic IDs (SID) and Hash IDs (HID) to improve sequential recommendation systems, particularly for long-tail items. The dual-branch architecture addresses the performance trade-off between head and tail recommendations, with validation across public benchmarks and a commercial platform.