Recommendation Unlearning on Industrial & Scientific Semantic Similarity
0.872Similarity ScoreOriginal
Evaluation Results
| Method | Links | |
|---|---|---|
| OriginalBackbone=TIGER2026.06 | 0.872 | |
| TRACERBackbone=TIGER2026.06 | 0.863 | |
| PISCESBackbone=TIGER2026.06 | 0.862 | |
| OriginalBackbone=ETEGRec2026.06 | 0.856 | |
| OriginalBackbone=MOR2026.06 | 0.851 | |
| TRACERBackbone=ETEGRec2026.06 | 0.847 | |
| OriginalBackbone=P5SID2026.06 | 0.843 | |
| ELMBackbone=TIGER2026.06 | 0.836 | |
| TRACERBackbone=P5SID2026.06 | 0.836 | |
| OriginalBackbone=LETTER2026.06 | 0.832 | |
| ELMBackbone=ETEGRec2026.06 | 0.829 | |
| TRACERBackbone=MOR2026.06 | 0.828 | |
| ELMBackbone=MOR2026.06 | 0.824 | |
| TRACERBackbone=LETTER2026.06 | 0.822 | |
| ELMBackbone=LETTER2026.06 | 0.821 | |
| ELMBackbone=P5SID2026.06 | 0.815 | |
| PISCESBackbone=ETEGRec2026.06 | 0.812 | |
| PISCESBackbone=LETTER2026.06 | 0.807 | |
| PISCESBackbone=MOR2026.06 | 0.79 | |
| PISCESBackbone=P5SID2026.06 | 0.784 | |
| FLATBackbone=TIGER2026.06 | 0.77 | |
| RMUBackbone=TIGER2026.06 | 0.75 | |
| RMUBackbone=ETEGRec2026.06 | 0.738 | |
| RMUBackbone=MOR2026.06 | 0.73 | |
| RMUBackbone=LETTER2026.06 | 0.73 | |
| FLATBackbone=ETEGRec2026.06 | 0.726 | |
| BLURBackbone=LETTER2026.06 | 0.72 | |
| RMUBackbone=P5SID2026.06 | 0.718 | |
| FLATBackbone=MOR2026.06 | 0.71 | |
| FLATBackbone=LETTER2026.06 | 0.71 | |
| FLATBackbone=P5SID2026.06 | 0.703 | |
| BLURBackbone=ETEGRec2026.06 | 0.691 | |
| REPNoiseBackbone=LETTER2026.06 | 0.69 | |
| BLURBackbone=MOR2026.06 | 0.68 | |
| BLURBackbone=P5SID2026.06 | 0.672 | |
| REPNoiseBackbone=ETEGRec2026.06 | 0.657 | |
| REPNoiseBackbone=TIGER2026.06 | 0.65 | |
| REPNoiseBackbone=P5SID2026.06 | 0.638 | |
| REPNoiseBackbone=MOR2026.06 | 0.63 | |
| BLURBackbone=TIGER2026.06 | 0.63 |