Multi-scenario Multi-task Recommendation on KuaiRand-Pure benchmark leaderboard · SOTA2 Research

Multi-scenario Multi-task Recommendation on KuaiRand-Pure

71.01S1 T1 AUCDNN-ST

Evaluation Results

Method	Links
DNN-ST2025.12		71.01	71.78	77.96	79.41	72.7	73.06	74.32	0.4339
DNN-T2025.12		70.55	71.6	78.43	79.71	72.05	72.22	74.09	0.4408
MLoRA-S2025.12		70.34	71.33	78.61	80.03	72.41	72.72	74.24	0.4373
MMoE-ST2025.12		70.31	71.44	78.31	79.84	72.32	72.58	74.13	0.4373
AutoIFS2025.12		70.2	72.18	78.85	80.23	73.2	73.57	74.71	0.4319
HiNet2025.12		70.1	71.74	78.69	80.13	72.9	73.28	74.47	0.4347
MLoRA-ST2025.12		70.04	71.55	78.63	80.03	72.89	73.33	74.41	0.4329
DNN-S2025.12		69.96	71.93	78.32	79.78	72.52	72.95	74.24	0.4343
M2M2025.12		69.83	70.84	78.8	80.2	72.74	73.05	74.24	0.4354
M3oE2025.12		69.75	71.55	78.47	79.9	72.72	73.02	74.23	0.436
MMoE-T2025.12		69.44	70.64	78.53	79.99	72.27	72.64	73.92	0.4845
MMoE-S2025.12		69.43	70.49	78.51	79.98	72.06	72.43	73.81	0.4876
MLoRA-T2025.12		69.38	71.12	78.5	79.89	72.66	72.88	74.07	0.4368