Table 4 The HR@20 and NDCG@20 performances achieved by EICD-Rec variants on three datasets.
From: Explicit intent enhanced contrastive learning with denoising networks for sequential recommendation
Dataset | Toys | Sports | Beauty | |||
|---|---|---|---|---|---|---|
Metrics | HR@20 | NDCG@20 | HR@20 | NDCG@20 | HR@20 | NDCG@20 |
(A)EICD-Rec | 0.1184 | 0.0614 | 0.0667 | 0.0306 | 0.1130 | 0.0553 |
(B)w/o DN | 0.1113 | 0.0558 | 0.0594 | 0.0281 | 0.1062 | 0.0511 |
(C)w/o Category | 0.1043 | 0.0553 | 0.0616 | 0.0276 | 0.1043 | 0.0492 |
(D)w/o CL | 0.0853 | 0.0431 | 0.0457 | 0.0190 | 0.0850 | 0.0383 |
