Generative Recommendation on Industrial (test)
7.47HR@1UGR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| UGRbackbone=Qwen3-8B, beam size=102026.02 | 7.47 | 11.79 | 13.93 | 9.65 | 10.33 | |
| MiniOneRecCategory=LLM-based models (SID-based generative), backbone=Qwen3-8B2026.02 | 7.45 | 10.8 | 12.76 | 9.17 | 9.8 | |
| ReaRecCategory=Reasoning-enhanced models2026.02 | 5.29 | 9.52 | 11.48 | 7.6 | 8.23 | |
| TIGERCategory=LLM-based models (SID-based generative)2026.02 | 4.89 | 9.54 | 12.17 | 7.44 | 8.28 | |
| R2ecCategory=Reasoning-enhanced models2026.02 | 3.72 | 8.86 | 12.74 | 6.35 | 7.61 | |
| SPRecCategory=LLM-based models (text-based)2026.02 | 3.05 | 9.7 | 12.44 | 6.89 | 7.8 | |
| SASRecCategory=Traditional Models2026.02 | 2.76 | 7.32 | 8.94 | 4.98 | 5.51 | |
| BIGRecCategory=LLM-based models (text-based)2026.02 | 2.72 | 9.07 | 11.43 | 6.35 | 7.1 |