Skip to main content
. 2019 Dec 12;19(Suppl 9):251. doi: 10.1186/s12911-019-0986-6

Table 6.

Comparison with the state-of-the-art PRF retrieval models in certain metrics

PRoc2 PRoc3 TF-PRF HRoc1
MAP 0.0600 0.0593 0.0580 0.0651 ∗+# (8.50%,9.78%,12.24%)
P@5 0.2867 0.2667 0.2600 0.2933 ∗+# (2.30%,9.97%,12.81%)
P@10 0.2533 0.2300 0.2467 0.2733 ∗+# (7.90%,18.83%,10.78%)
P@20 0.2417 0.2167 0.2317 0.2350 +# (-2.77%,8.44%,1.42%)
F1 0.1031 0.1020 0.1012 0.1112 ∗+# (7.86%,9.02%,9.88%)

The best result obtained is shown in bold, and the superscripts “*”, “+” and “#” denote statistically significant improvements over PRoc2, PRoc3 and TF-PRF, respectively (Wilcoxon signed-rank test with p<0.05). The values in parentheses are the improvements over RM3, BM25+Rocchio, PRoc2 and TF-PRF, respectively