Candidate Retrieval on Amazon100k
45.2PrecisionMUSS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MUSSlambda_c=0.9, k=500, lambda=0.92025.03 | 45.2 | 97 | 99.9 | 70.4 | 53 | |
| MUSSlambda_c=0.1, k=500, lambda=0.92025.03 | 44.8 | 96.9 | 99.9 | 70.2 | 56 | |
| MUSSlambda_c=0.7, k=500, lambda=0.92025.03 | 44.4 | 97 | 99.9 | 70.4 | 53 | |
| MUSSlambda_c=0.5, k=500, lambda=0.92025.03 | 43.5 | 97 | 99.9 | 70.6 | 54 | |
| MUSS(rand.A)k=500, lambda=0.92025.03 | 42.8 | 96.9 | 99.9 | 69.8 | 49 | |
| MUSSlambda_c=0.3, k=500, lambda=0.92025.03 | 42.8 | 97 | 99.9 | 70.5 | 54 | |
| MUSS(rand.B)k=500, lambda=0.92025.03 | 41.6 | 96.9 | 99.9 | 70 | 53 | |
| MMRk=500, lambda=0.92025.03 | 39.4 | 97 | 99.9 | 71.1 | 311 | |
| DGDSk=500, lambda=0.92025.03 | 39.4 | 97 | 99.9 | 71.1 | 271 | |
| clusteringk=500, lambda=0.92025.03 | 28.2 | 96.3 | 99.5 | 67.7 | 9.92 | |
| randomk=500, lambda=0.92025.03 | 11.2 | 73 | 73.6 | 67.4 | 0 |