ItemKNN
The results of ItemKNN on the 6 datasets (i.e., ML-1M, LastFM, Book-X, Epinions, Yelp, AMZe) under 10-filter view w.r.t time-aware leave-one-out (tloo) are listed below.
ML-1M
The results on ML-1M dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.0308 |
0.0203 |
0.0166 |
0.0130 |
0.0110 |
0.0088 |
rec |
0.0308 |
0.1017 |
0.1655 |
0.2607 |
0.3297 |
0.4392 |
hr |
0.0308 |
0.1017 |
0.1655 |
0.2607 |
0.3297 |
0.4392 |
map |
0.0308 |
0.0108 |
0.0062 |
0.0034 |
0.0024 |
0.0015 |
mrr |
0.0308 |
0.0541 |
0.0622 |
0.0688 |
0.0715 |
0.0743 |
ndcg |
0.0308 |
0.0658 |
0.0860 |
0.1100 |
0.1246 |
0.1452 |
LastFM
The results on LastFM dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.1012 |
0.0439 |
0.0298 |
0.0198 |
0.0158 |
0.0114 |
rec |
0.1012 |
0.2196 |
0.2978 |
0.3969 |
0.4740 |
0.5720 |
hr |
0.1012 |
0.2196 |
0.2978 |
0.3969 |
0.4740 |
0.5720 |
map |
0.1012 |
0.0285 |
0.0153 |
0.0080 |
0.0054 |
0.0033 |
mrr |
0.1012 |
0.1423 |
0.1531 |
0.1599 |
0.1630 |
0.1655 |
ndcg |
0.1012 |
0.1614 |
0.1870 |
0.2120 |
0.2284 |
0.2468 |
Book-X
The results on Book-X dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.0803 |
0.0346 |
0.0226 |
0.0142 |
0.0108 |
0.0075 |
rec |
0.0803 |
0.1730 |
0.2256 |
0.2842 |
0.3234 |
0.3764 |
hr |
0.0803 |
0.1730 |
0.2256 |
0.2842 |
0.3234 |
0.3764 |
map |
0.0803 |
0.0228 |
0.0121 |
0.0062 |
0.0042 |
0.0026 |
mrr |
0.0803 |
0.1138 |
0.1209 |
0.1249 |
0.1265 |
0.1278 |
ndcg |
0.0803 |
0.1285 |
0.1456 |
0.1603 |
0.1687 |
0.1786 |
Epinions
The results on Epinions dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.0375 |
0.0178 |
0.0115 |
0.0070 |
0.0052 |
0.0036 |
rec |
0.0375 |
0.0892 |
0.1148 |
0.1401 |
0.1558 |
0.1807 |
hr |
0.0375 |
0.0892 |
0.1148 |
0.1401 |
0.1558 |
0.1807 |
map |
0.0375 |
0.0112 |
0.0060 |
0.0031 |
0.0021 |
0.0013 |
mrr |
0.0375 |
0.0561 |
0.0596 |
0.0614 |
0.0620 |
0.0626 |
ndcg |
0.0375 |
0.0643 |
0.0727 |
0.0791 |
0.0824 |
0.0871 |
Yelp
The results on Yelp dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.1143 |
0.0570 |
0.0371 |
0.0222 |
0.0159 |
0.0101 |
rec |
0.1143 |
0.2849 |
0.3705 |
0.4435 |
0.4756 |
0.5047 |
hr |
0.1143 |
0.2849 |
0.3705 |
0.4435 |
0.4756 |
0.5047 |
map |
0.1143 |
0.0350 |
0.0187 |
0.0096 |
0.0064 |
0.0039 |
mrr |
0.1143 |
0.1752 |
0.1867 |
0.1919 |
0.1932 |
0.1939 |
ndcg |
0.1143 |
0.2024 |
0.2302 |
0.2487 |
0.2556 |
0.2611 |
AMZe
The results on AMZe dataset under 10-filter setting are listed below.
10-filter
metric@K |
1 |
5 |
10 |
20 |
30 |
50 |
|---|---|---|---|---|---|---|
pre |
0.0729 |
0.0271 |
0.0159 |
0.0091 |
0.0065 |
0.0043 |
rec |
0.0729 |
0.1356 |
0.1594 |
0.1815 |
0.1945 |
0.2140 |
hr |
0.0729 |
0.1356 |
0.1594 |
0.1815 |
0.1945 |
0.2140 |
map |
0.0729 |
0.0193 |
0.0100 |
0.0051 |
0.0034 |
0.0020 |
mrr |
0.0729 |
0.0963 |
0.0995 |
0.1011 |
0.1016 |
0.1021 |
ndcg |
0.0729 |
0.1061 |
0.1138 |
0.1194 |
0.1222 |
0.1259 |