notesum.ai
Published at November 18TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
cs.AI
cs.IR
Released Date: November 18, 2024
Authors: Weixian Waylon Li1, Yftah Ziser2, Yifei Xie1, Shay B. Cohen1, Tiejun Ma1
Aff.: 1University of Edinburgh, United Kingdom; 2Nvidia Research, Israel

| Top 10 | Top 30 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | Type | NDCG@3 | NDCG@5 | NDCG@10 | MRR | NDCG@3 | NDCG@5 | NDCG@10 | MRR | ||
| LambdaMART | Pairwise | 0.6833 | 0.7222 | 0.8707 | 0.4259 | 0.1474 | 0.7340 | 0.7298 | 0.7403 | 0.3617 | 0.2372 |
| Rankformer | Listwise | 0.7220 | 0.7565 | 0.8865 | 0.4661 | 0.2317 | 0.7486 | 0.7470 | 0.7596 | 0.3732 | 0.2834 |
| TSPRank-Local | Pairwise-Listwise | 0.6858 | 0.7213 | 0.8719 | 0.4266 | 0.1544 | 0.7189 | 0.7240 | 0.7362 | 0.3206 | 0.2054 |
| TSPRank-Global | Pairwise-Listwise | 0.7281 | 0.7585 | 0.8884 | 0.4861 | 0.2212 | 0.7582 | 0.7558 | 0.7631 | 0.3895 | 0.2647 |