Artiklar med krav på offentlig åtkomst - Yunjia XiLäs mer
Tillgängliga någonstans: 8
How can recommender systems benefit from large language models: A survey
J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ...
ACM Transactions on Information Systems, 2023
Krav: National Natural Science Foundation of China
A Bird's-eye View of Reranking: from List Level to Page Level
Y Xi, J Lin, W Liu, X Dai, W Zhang, R Zhang, R Tang, Y Yu
In Proceedings of the Sixteenth ACM International Conference on Web Search …, 2022
Krav: National Natural Science Foundation of China
U-rank: Utility-oriented learning to rank with implicit feedback
X Dai, J Hou, Q Liu, Y Xi, R Tang, W Zhang, X He, J Wang, Y Yu
Proceedings of the 29th ACM international conference on information …, 2020
Krav: National Natural Science Foundation of China
Multi-Level Interaction Reranking with User Behavior History
Y Xi, W Liu, J Zhu, X Zhao, X Dai, R Tang, W Zhang, R Zhang, Y Yu
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Krav: National Natural Science Foundation of China
Utility-oriented Reranking with Counterfactual Context
Y Xi, W Liu, X Dai, R Tang, Q Liu, W Zhang, Y Yu
ACM Transactions on Knowledge Discovery from Data, 2024
Krav: National Natural Science Foundation of China
On-device integrated re-ranking with heterogeneous behavior modeling
Y Xi, W Liu, Y Wang, R Tang, W Zhang, Y Zhu, R Zhang, Y Yu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Krav: National Natural Science Foundation of China
Personalized Diversification for Neural Re-ranking in Recommendation
W Liu, Y Xi, J Qin, X Dai, R Tang, S Li, W Zhang, R Zhang
2023 IEEE 39th International Conference on Data Engineering (ICDE), 802-815, 2023
Krav: National Natural Science Foundation of China
Beyond relevance ranking: a general graph matching framework for utility-oriented learning to rank
X Dai, Y Xi, W Zhang, Q Liu, R Tang, X He, J Hou, J Wang, Y Yu
ACM Transactions on Information Systems (TOIS) 40 (2), 1-29, 2021
Krav: National Natural Science Foundation of China
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