Multi-scenario Multi-task Recommendation on MovieLens-1M benchmark leaderboard · SOTA2 Research

Multi-scenario Multi-task Recommendation on MovieLens-1M

0.8191AUC (S1, T1)AutoIFS

Evaluation Results

Method	Links
AutoIFS2025.12		0.8191	0.8361	0.8282	0.8351	0.8134	0.8196	0.8253	0.4575
HiNet2025.12		0.8161	0.833	0.8262	0.8314	0.81	0.816	0.8221	0.4614
M2M2025.12		0.816	0.8329	0.8259	0.8304	0.8105	0.8167	0.8221	0.4675
MMoE-ST2025.12		0.8154	0.8337	0.826	0.8318	0.8113	0.8169	0.8225	0.4614
MLoRA-S2025.12		0.8151	0.8329	0.8254	0.8315	0.81	0.8173	0.822	0.4623
MLoRA-T2025.12		0.8143	0.8325	0.8257	0.8312	0.8099	0.8153	0.8214	0.4665
M3oE2025.12		0.8142	0.8333	0.8253	0.8301	0.8092	0.8151	0.8212	0.4651
MLoRA-ST2025.12		0.814	0.8324	0.8261	0.8314	0.8097	0.8172	0.8218	0.4624
DNN-S2025.12		0.8136	0.8324	0.8248	0.8301	0.809	0.8158	0.821	0.4651
DNN-T2025.12		0.8134	0.8318	0.8256	0.8292	0.8103	0.8161	0.8211	0.4626
DNN-ST2025.12		0.8126	0.8308	0.825	0.8278	0.8106	0.8146	0.8202	0.4662
MMoE-T2025.12		0.812	0.8313	0.8232	0.8289	0.8086	0.8155	0.8199	0.6256
MMoE-S2025.12		0.8113	0.8301	0.8235	0.8286	0.8082	0.8163	0.8197	0.5565