Performance comparison of different methods on the task of last-item recommendation.
Data sets . | Methods . | MRR . | Hit@10 . | NDCG@10 . |
---|---|---|---|---|
MovieLens 20M | BPR | 0.128 | 0.276 | 0.144 |
SVDFeature | 0.204 | 0.448 | 0.243 | |
mCKE | 0.178 | 0.382 | 0.209 | |
KSR | 0.294 | 0.571 | 0.344 | |
LFM-1b | BPR | 0.227 | 0.458 | 0.265 |
SVDFeature | 0.337 | 0.544 | 0.373 | |
mCKE | 0.371 | 0.541 | 0.399 | |
KSR | 0.427 | 0.607 | 0.460 | |
Amazon book | BPR | 0.222 | 0.505 | 0.272 |
SVDFeature | 0.264 | 0.544 | 0.315 | |
mCKE | 0.248 | 0.494 | 0.291 | |
KSR | 0.353 | 0.653 | 0.413 |
Data sets . | Methods . | MRR . | Hit@10 . | NDCG@10 . |
---|---|---|---|---|
MovieLens 20M | BPR | 0.128 | 0.276 | 0.144 |
SVDFeature | 0.204 | 0.448 | 0.243 | |
mCKE | 0.178 | 0.382 | 0.209 | |
KSR | 0.294 | 0.571 | 0.344 | |
LFM-1b | BPR | 0.227 | 0.458 | 0.265 |
SVDFeature | 0.337 | 0.544 | 0.373 | |
mCKE | 0.371 | 0.541 | 0.399 | |
KSR | 0.427 | 0.607 | 0.460 | |
Amazon book | BPR | 0.222 | 0.505 | 0.272 |
SVDFeature | 0.264 | 0.544 | 0.315 | |
mCKE | 0.248 | 0.494 | 0.291 | |
KSR | 0.353 | 0.653 | 0.413 |