2024 "recommender systems" Papers
9 papers found
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
4
citations
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Aritra Bhowmick, Mert Kosan, Zexi Huang et al.
AAAI 2024paperarXiv:2312.12697
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai et al.
ICML 2024poster
MoMo: Momentum Models for Adaptive Learning Rates
Fabian Schaipp, Ruben Ohana, Michael Eickenberg et al.
ICML 2024posterarXiv:2305.07583
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Álvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte
ICML 2024poster
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
Haoxuan Li, Chunyuan Zheng, Shuyi Wang et al.
ICML 2024spotlight
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
Liangcai Su, Junwei Pan, Ximei Wang et al.
AAAI 2024paperarXiv:2308.13537
37
citations
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
Xinyu Lin, Wenjie Wang, Jujia Zhao et al.
AAAI 2024paperarXiv:2312.09901
18
citations