AAAI Paper "recommender systems" Papers

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Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

AAAI 2025paperarXiv:2510.09643

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu et al.

AAAI 2025paperarXiv:2412.11905

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

AAAI 2024paperarXiv:2401.06633

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Ximei Wang, Junwei Pan, Xingzhuo Guo et al.

AAAI 2024paperarXiv:2309.10302

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization

Aritra Bhowmick, Mert Kosan, Zexi Huang et al.

AAAI 2024paperarXiv:2312.12697

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation

Liangcai Su, Junwei Pan, Ximei Wang et al.

AAAI 2024paperarXiv:2308.13537

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao et al.

AAAI 2024paperarXiv:2312.09901