Generative Recommendation on Office (test)
0.0904HR@1UGR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| UGRbackbone=Qwen3-8B, beam size=102026.02 | 0.0904 | 0.1407 | 0.1598 | 0.1169 | 0.1231 | |
| MiniOneRecCategory=LLM-based models (SID-based generative), backbone=Qwen3-8B2026.02 | 0.0823 | 0.1314 | 0.1479 | 0.1084 | 0.1137 | |
| ReaRecCategory=Reasoning-enhanced models2026.02 | 0.0782 | 0.1164 | 0.138 | 0.099 | 0.106 | |
| TIGERCategory=LLM-based models (SID-based generative)2026.02 | 0.0715 | 0.1146 | 0.1361 | 0.0946 | 0.1015 | |
| BIGRecCategory=LLM-based models (text-based)2026.02 | 0.0714 | 0.1053 | 0.1198 | 0.0898 | 0.0944 | |
| SPRecCategory=LLM-based models (text-based)2026.02 | 0.0665 | 0.0885 | 0.1013 | 0.0787 | 0.0828 | |
| R2ecCategory=Reasoning-enhanced models2026.02 | 0.0496 | 0.1006 | 0.1364 | 0.0758 | 0.0873 | |
| SASRecCategory=Traditional Models2026.02 | 0.0176 | 0.0771 | 0.1028 | 0.0489 | 0.0572 |