Följ
Yunjia Xi
Yunjia Xi
Verifierad e-postadress på sjtu.edu.cn
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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
203*2023
Towards open-world recommendation with knowledge augmentation from large language models
Y Xi, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen, R Tang, W Zhang, Y Yu
Proceedings of the 18th ACM Conference on Recommender Systems, 12-22, 2024
1562024
Neural Re-ranking in Multi-stage Recommender Systems: A Review
W Liu, Y Xi, J Qin, F Sun, B Chen, W Zhang, R Zhang, R Tang
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
48*2022
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
J Lin, B Chen, H Wang, Y Xi, Y Qu, X Dai, K Zhang, R Tang, Y Yu, ...
Proceedings of the ACM on Web Conference 2024, 3319-3330, 2024
30*2024
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
302022
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
21*2020
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
182022
Context-aware reranking with utility maximization for recommendation
Y Xi, W Liu, X Dai, R Tang, W Zhang, Q Liu, X He, Y Yu
arXiv preprint arXiv:2110.09059, 2021
152021
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
102023
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
8*2023
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
K Du, J Chen, J Lin, Y Xi, H Wang, X Dai, B Chen, R Tang, W Zhang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
7*2024
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
Y Xi, W Liu, J Lin, B Chen, R Tang, W Zhang, Y Yu
Proceedings of the 33rd ACM International Conference on Information and …, 2024
62024
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
4*2021
Efficient and deployable knowledge infusion for open-world recommendations via large language models
Y Xi, W Liu, J Lin, M Weng, X Cai, H Zhu, J Zhu, B Chen, R Tang, Y Yu, ...
arXiv preprint arXiv:2408.10520, 2024
32024
A decoding acceleration framework for industrial deployable LLM-based recommender systems
Y Xi, H Wang, B Chen, J Lin, M Zhu, W Liu, R Tang, W Zhang, Y Yu
arXiv preprint arXiv:2408.05676, 2024
32024
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
Y Xi, W Liu, J Lin, C Wu, B Chen, R Tang, W Zhang, Y Yu
China Conference on Information Retrieval, 1-13, 2024
12024
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
12024
Page-level reranking for recommendation
W Liu, Y Xi, J Lin, R Tang, W Zhang, Y Yu
US Patent 12,182,141, 2024
2024
LIBER: Lifelong User Behavior Modeling Based on Large Language Models
C Zhu, S Quan, B Chen, J Lin, X Cai, H Zhu, X Li, Y Xi, W Zhang, R Tang
arXiv preprint arXiv:2411.14713, 2024
2024
Beyond Positive History: Re-ranking with List-level Hybrid Feedback
M Weng, Y Xi, W Liu, B Chen, J Lin, R Tang, W Zhang, Y Yu
arXiv preprint arXiv:2410.20778, 2024
2024
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Artiklar 1–20