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Si, Zihua
31  results:
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1

To Search or to Recommend: Predicting Open-App Motivation w..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Sun, Zhongxiang ; Si, Zihua ; Zhang, Xiao... - p. 1018-1028 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Explainable Legal Case Matching via Graph Optimal Transport:

Sun, Zhongxiang ; Yu, Weijie ; Si, Zihua...
IEEE Transactions on Knowledge and Data Engineering.  36 (2024)  6 - p. 2461-2475 , 2024
Link: https://doi.org/10.1109/..
 
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3

UniSAR: Modeling User Transition Behaviors between Search a..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Shi, Teng ; Si, Zihua ; Xu, Jun... - p. 1029-1039 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Explicitly Integrating Judgment Prediction with Legal Docum..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Qin, Weicong ; Cao, Zelin ; Yu, Weijie... - p. 2210-2220 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

Uncovering ChatGPT's Capabilities in Recommender Systems:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Dai, Sunhao ; Shao, Ninglu ; Zhao, Haiyuan... - p. 1126-1132 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

When Search Meets Recommendation: Learning Disentangled Sea..:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Si, Zihua ; Sun, Zhongxiang ; Zhang, Xiao... - p. 1313-1323 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

KuaiSAR: A Unified Search And Recommendation Dataset:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
Sun, Zhongxiang ; Si, Zihua ; Zang, Xiaoxue... - p. 5407-5411 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Enhancing Recommendation with Search Data in a Causal Learn..:

Si, Zihua ; Sun, Zhongxiang ; Zhang, Xiao...
ACM Transactions on Information Systems.  41 (2023)  4 - p. 1-31 , 2023
Link: https://doi.org/10.1145/..
 
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9

A Model-Agnostic Causal Learning Framework for Recommendati..:

, In: Proceedings of the ACM Web Conference 2022,
Si, Zihua ; Han, Xueran ; Zhang, Xiao... - p. 224-233 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

KuaiSAR: A Unified Search And Recommendation Dataset:

Sun, Zhongxiang ; Si, Zihua ; Zang, Xiaoxue...
doi:10.5281/zenodo.8031219.  , 2023
Link: https://zenodo.org/recor..
 
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11

Uncovering ChatGPT's Capabilities in Recommender Systems:

Dai, Sunhao ; Shao, Ninglu ; Zhao, Haiyuan...
http://arxiv.org/abs/2305.02182.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

KuaiSAR: A Unified Search And Recommendation Dataset:

Sun, Zhongxiang ; Si, Zihua ; Zang, Xiaoxue...
http://arxiv.org/abs/2306.07705.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Generative Retrieval with Semantic Tree-Structured Item Ide..:

Si, Zihua ; Sun, Zhongxiang ; Chen, Jiale...
http://arxiv.org/abs/2309.13375.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

KuaiSAR: A Unified Search And Recommendation Dataset:

Sun, Zhongxiang ; Si, Zihua ; Zang, Xiaoxue...
doi:10.5281/zenodo.8031219.  , 2023
Link: https://zenodo.org/recor..
 
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15

When Search Meets Recommendation: Learning Disentangled Sea..:

Si, Zihua ; Sun, Zhongxiang ; Zhang, Xiao...
http://arxiv.org/abs/2305.10822.  , 2023
Link: http://arxiv.org/abs/230..
 
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