Paper "recommendation systems" Papers

12 papers found

Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling

Wenqiao Zhu, Lulu Wang, Jun Wu

AAAI 2025paperarXiv:2504.06270
5
citations

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Jiazheng Jing, Yinan Zhang, Chunyan Miao

AAAI 2025paperarXiv:2508.13870

Core Knowledge Learning Framework for Graph

Bowen Zhang, Zhichao Huang, Guangning Xu et al.

AAAI 2025paperarXiv:2407.01886

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation

Sanghyuck Lee, Sangkeun Park, Jaesung Lee

AAAI 2025paperarXiv:2504.03107
2
citations

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Jian Jia, Yipei Wang, Yan Li et al.

AAAI 2025paperarXiv:2405.03988
30
citations

Neural Combinatorial Clustered Bandits for Recommendation Systems

Baran Atalar, Carlee Joe-Wong

AAAI 2025paperarXiv:2410.14586
3
citations

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration

Zheqi Lv, Keming Ye, Zishu Wei et al.

AAAI 2025paperarXiv:2501.07596
1
citations

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation

Shuyuan Zhao, Wei Chen, Boyan Shi et al.

AAAI 2025paperarXiv:2412.16502
1
citations

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Qi Liu, Xuyang Hou, Defu Lian et al.

AAAI 2024paperarXiv:2312.06683
11
citations

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang et al.

AAAI 2024paperarXiv:2402.16312
9
citations

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee et al.

AAAI 2024paperarXiv:2403.17374
10
citations

No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.

AAAI 2024paperarXiv:2312.10080
39
citations