ItemKNN
The results of ItemKNN on the 6 datasets (i.e., ML-1M, LastFM, Book-X, Epinions, Yelp, AMZe) under three views (i.e., origin, 5-filter and 10-filter) w.r.t time-aware split-by-ratio (TSBR) are listed below.
ML-1M
The results on ML-1M dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.2392 |
0.2341 |
0.2218 |
0.2052 |
0.1952 |
0.1720 |
Rec |
0.0088 |
0.0375 |
0.0676 |
0.1148 |
0.1535 |
0.2159 |
HR |
0.2392 |
0.5188 |
0.6521 |
0.7770 |
0.8443 |
0.9003 |
MAP |
0.2392 |
0.1726 |
0.1428 |
0.1160 |
0.1023 |
0.0844 |
MRR |
0.2392 |
0.5439 |
0.6804 |
0.8072 |
0.8771 |
0.9470 |
NDCG |
0.2392 |
0.3853 |
0.4261 |
0.4585 |
0.4752 |
0.4870 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.2522 |
0.2365 |
0.2284 |
0.2159 |
0.2040 |
0.1824 |
Rec |
0.0110 |
0.0363 |
0.0666 |
0.1198 |
0.1585 |
0.2222 |
HR |
0.2522 |
0.5286 |
0.6502 |
0.7797 |
0.8430 |
0.8901 |
MAP |
0.2522 |
0.1758 |
0.1482 |
0.1237 |
0.1100 |
0.0928 |
MRR |
0.2522 |
0.5563 |
0.6987 |
0.8357 |
0.9074 |
0.9836 |
NDCG |
0.2522 |
0.3962 |
0.4319 |
0.4642 |
0.4798 |
0.4909 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.2480 |
0.2312 |
0.2208 |
0.2087 |
0.1993 |
0.1789 |
Rec |
0.0092 |
0.0354 |
0.0619 |
0.1108 |
0.1503 |
0.2153 |
HR |
0.2480 |
0.5124 |
0.6381 |
0.7779 |
0.8450 |
0.8980 |
MAP |
0.2480 |
0.1725 |
0.1443 |
0.1189 |
0.1058 |
0.0890 |
MRR |
0.2480 |
0.5448 |
0.6821 |
0.8142 |
0.8863 |
0.9617 |
NDCG |
0.2480 |
0.3845 |
0.4233 |
0.4572 |
0.4752 |
0.4875 |
LastFM
The results on LastFM dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.7069 |
0.5449 |
0.4219 |
0.2846 |
0.2119 |
0.1401 |
Rec |
0.0770 |
0.2867 |
0.4332 |
0.5778 |
0.6440 |
0.7084 |
HR |
0.7069 |
0.9241 |
0.9580 |
0.9745 |
0.9798 |
0.9825 |
MAP |
0.7069 |
0.4731 |
0.3324 |
0.1996 |
0.1395 |
0.0863 |
MRR |
0.7069 |
1.3858 |
1.5842 |
1.6875 |
1.7144 |
1.7314 |
NDCG |
0.7069 |
0.8118 |
0.8026 |
0.7840 |
0.7723 |
0.7610 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.4932 |
0.3239 |
0.2410 |
0.1720 |
0.1366 |
0.0975 |
Rec |
0.0653 |
0.2097 |
0.3065 |
0.4349 |
0.5174 |
0.6154 |
HR |
0.4932 |
0.7653 |
0.8551 |
0.9232 |
0.9492 |
0.9654 |
MAP |
0.4932 |
0.2578 |
0.1647 |
0.0979 |
0.0699 |
0.0442 |
MRR |
0.4932 |
0.8788 |
0.9835 |
1.0542 |
1.0806 |
1.1005 |
NDCG |
0.4932 |
0.6241 |
0.6341 |
0.6283 |
0.6210 |
0.6100 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.3988 |
0.2517 |
0.1851 |
0.1316 |
0.1051 |
0.0779 |
Rec |
0.0612 |
0.1794 |
0.2621 |
0.3735 |
0.4487 |
0.5554 |
HR |
0.3988 |
0.6781 |
0.7840 |
0.8669 |
0.9078 |
0.9411 |
MAP |
0.3988 |
0.1920 |
0.1188 |
0.0693 |
0.0492 |
0.0314 |
MRR |
0.3988 |
0.6930 |
0.7708 |
0.8245 |
0.8453 |
0.8643 |
NDCG |
0.3988 |
0.5383 |
0.5577 |
0.5589 |
0.5542 |
0.5442 |
Book-X
The results on Book-X dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0595 |
0.0309 |
0.0214 |
0.0148 |
0.0121 |
0.0095 |
Rec |
0.0126 |
0.0224 |
0.0283 |
0.0391 |
0.0501 |
0.0697 |
HR |
0.0595 |
0.0893 |
0.1027 |
0.1259 |
0.1459 |
0.1810 |
MAP |
0.0595 |
0.0254 |
0.0159 |
0.0095 |
0.0070 |
0.0048 |
MRR |
0.0595 |
0.0931 |
0.1010 |
0.1066 |
0.1092 |
0.1121 |
NDCG |
0.0595 |
0.0748 |
0.0782 |
0.0831 |
0.0865 |
0.0916 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.1128 |
0.0600 |
0.0419 |
0.0286 |
0.0232 |
0.0176 |
Rec |
0.0264 |
0.0536 |
0.0661 |
0.0801 |
0.0928 |
0.1130 |
HR |
0.1128 |
0.1873 |
0.2186 |
0.2539 |
0.2817 |
0.3214 |
MAP |
0.1128 |
0.0466 |
0.0283 |
0.0167 |
0.0122 |
0.0081 |
MRR |
0.1128 |
0.1781 |
0.1937 |
0.2043 |
0.2092 |
0.2139 |
NDCG |
0.1128 |
0.1502 |
0.1580 |
0.1646 |
0.1689 |
0.1742 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.1292 |
0.0732 |
0.0516 |
0.0365 |
0.0296 |
0.0227 |
Rec |
0.0263 |
0.0615 |
0.0786 |
0.0996 |
0.1145 |
0.1361 |
HR |
0.1292 |
0.2293 |
0.2780 |
0.3308 |
0.3642 |
0.4081 |
MAP |
0.1292 |
0.0555 |
0.0335 |
0.0196 |
0.0142 |
0.0095 |
MRR |
0.1292 |
0.2117 |
0.2314 |
0.2460 |
0.2523 |
0.2586 |
NDCG |
0.1292 |
0.1791 |
0.1921 |
0.2017 |
0.2065 |
0.2121 |
Epinions
The results on Epinions dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0813 |
0.0573 |
0.0480 |
0.0400 |
0.0364 |
0.0336 |
Rec |
0.0053 |
0.0134 |
0.0193 |
0.0288 |
0.0378 |
0.0569 |
HR |
0.0813 |
0.1370 |
0.1599 |
0.1985 |
0.2291 |
0.2948 |
MAP |
0.0813 |
0.0466 |
0.0365 |
0.0286 |
0.0249 |
0.0212 |
MRR |
0.0813 |
0.1500 |
0.1753 |
0.1970 |
0.2085 |
0.2234 |
NDCG |
0.0813 |
0.1102 |
0.1176 |
0.1268 |
0.1332 |
0.1454 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0571 |
0.0421 |
0.0354 |
0.0290 |
0.0257 |
0.0218 |
Rec |
0.0070 |
0.0203 |
0.0309 |
0.0460 |
0.0585 |
0.0803 |
HR |
0.0571 |
0.1234 |
0.1668 |
0.2231 |
0.2657 |
0.3314 |
MAP |
0.0571 |
0.0306 |
0.0222 |
0.0157 |
0.0127 |
0.0096 |
MRR |
0.0571 |
0.1084 |
0.1271 |
0.1425 |
0.1501 |
0.1581 |
NDCG |
0.0571 |
0.0905 |
0.1037 |
0.1166 |
0.1250 |
0.1370 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0399 |
0.0305 |
0.0261 |
0.0213 |
0.0189 |
0.0166 |
Rec |
0.0064 |
0.0204 |
0.0315 |
0.0481 |
0.0619 |
0.0883 |
HR |
0.0399 |
0.0961 |
0.1388 |
0.1964 |
0.2393 |
0.3135 |
MAP |
0.0399 |
0.0212 |
0.0150 |
0.0101 |
0.0080 |
0.0060 |
MRR |
0.0399 |
0.0775 |
0.0916 |
0.1028 |
0.1084 |
0.1150 |
NDCG |
0.0399 |
0.0680 |
0.0813 |
0.0952 |
0.1041 |
0.1179 |
Yelp
The results on Yelp dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0377 |
0.0191 |
0.0128 |
0.0083 |
0.0065 |
0.0048 |
Rec |
0.0120 |
0.0239 |
0.0302 |
0.0405 |
0.0502 |
0.0693 |
HR |
0.0377 |
0.0602 |
0.0699 |
0.0869 |
0.1031 |
0.1337 |
MAP |
0.0377 |
0.0154 |
0.0094 |
0.0054 |
0.0038 |
0.0024 |
MRR |
0.0377 |
0.0585 |
0.0628 |
0.0654 |
0.0665 |
0.0677 |
NDCG |
0.0377 |
0.0496 |
0.0524 |
0.0563 |
0.0594 |
0.0646 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.1483 |
0.0920 |
0.0646 |
0.0422 |
0.0321 |
0.0225 |
Rec |
0.0380 |
0.0982 |
0.1227 |
0.1430 |
0.1558 |
0.1769 |
HR |
0.1483 |
0.2698 |
0.3061 |
0.3396 |
0.3654 |
0.4107 |
MAP |
0.1483 |
0.0704 |
0.0452 |
0.0273 |
0.0197 |
0.0128 |
MRR |
0.1483 |
0.2567 |
0.2815 |
0.2952 |
0.2999 |
0.3041 |
NDCG |
0.1483 |
0.2112 |
0.2208 |
0.2270 |
0.2311 |
0.2374 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.2179 |
0.1548 |
0.1174 |
0.0805 |
0.0619 |
0.0432 |
Rec |
0.0403 |
0.1255 |
0.1765 |
0.2187 |
0.2383 |
0.2613 |
HR |
0.2179 |
0.4163 |
0.4882 |
0.5402 |
0.5669 |
0.6057 |
MAP |
0.2179 |
0.1167 |
0.0792 |
0.0498 |
0.0367 |
0.0242 |
MRR |
0.2179 |
0.4069 |
0.4600 |
0.4903 |
0.5003 |
0.5081 |
NDCG |
0.2179 |
0.3194 |
0.3380 |
0.3463 |
0.3495 |
0.3536 |
AMZe
The results on AMZe dataset across origin, 5- and 10-filter settings are listed below.
origin
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0043 |
0.0021 |
0.0018 |
0.0017 |
0.0016 |
0.0016 |
Rec |
0.0024 |
0.0065 |
0.0114 |
0.0216 |
0.0322 |
0.0510 |
HR |
0.0043 |
0.0103 |
0.0176 |
0.0323 |
0.0476 |
0.0739 |
MAP |
0.0043 |
0.0013 |
0.0008 |
0.0004 |
0.0003 |
0.0002 |
MRR |
0.0043 |
0.0064 |
0.0074 |
0.0084 |
0.0090 |
0.0098 |
NDCG |
0.0043 |
0.0073 |
0.0096 |
0.0133 |
0.0165 |
0.0214 |
5-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0249 |
0.0108 |
0.0072 |
0.0051 |
0.0044 |
0.0038 |
Rec |
0.0089 |
0.0172 |
0.0224 |
0.0315 |
0.0405 |
0.0594 |
HR |
0.0249 |
0.0484 |
0.0640 |
0.0905 |
0.1146 |
0.1636 |
MAP |
0.0249 |
0.0075 |
0.0041 |
0.0022 |
0.0015 |
0.0009 |
MRR |
0.0249 |
0.0354 |
0.0378 |
0.0398 |
0.0410 |
0.0425 |
NDCG |
0.0249 |
0.0370 |
0.0419 |
0.0483 |
0.0533 |
0.0621 |
10-filter
Metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
Pre |
0.0342 |
0.0188 |
0.0136 |
0.0097 |
0.0080 |
0.0066 |
Rec |
0.0081 |
0.0216 |
0.0312 |
0.0433 |
0.0527 |
0.0714 |
HR |
0.0342 |
0.0816 |
0.1136 |
0.1550 |
0.1879 |
0.2457 |
MAP |
0.0342 |
0.0120 |
0.0067 |
0.0037 |
0.0025 |
0.0016 |
MRR |
0.0342 |
0.0547 |
0.0603 |
0.0641 |
0.0660 |
0.0682 |
NDCG |
0.0342 |
0.0579 |
0.0679 |
0.0777 |
0.0843 |
0.0945 |