Table 2:
Testing results of a neural network based (NN) query expansion module compared to information retrieval techniques. In the table we show the top-k accuracy (Acc@k), using inverse probability masking.
Model | Acc@1 | Acc@5 | Acc@10 |
f | 0.0095 | 0.087 | 0.175 |
BIM | 0.0093 | 0.037 | 0.0578 |
CHI | 0.0019 | 0.0336 | 0.0664 |
RSV | 0.0107 | 0.0873 | 0.170 |
KLD | 0.0016 | 0.0654 | 0.138 |
NN | 0.13 | 0.26 | 0.34 |