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Shuaiqiang Wang
Shuaiqiang Wang
Principal Architect of Search Strategy, Baidu Inc.
Verified email at baidu.com - Homepage
Title
Cited by
Cited by
Year
A survey of serendipity in recommender systems
D Kotkov, S Wang, J Veijalainen
Knowledge-Based Systems 111, 180-192, 2016
3962016
Explainability for Large Language Models: A Survey
H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du
ACM Transactions on Intelligent Systems and Technology 15 (2), Article No. 20, 2024
2272024
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
W Sun, L Yan, X Ma, S Wang, P Ren, Z Chen, D Yin, Z Ren
EMNLP 2023, 2023
2232023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ...
ACM SIGKDD Explorations Newsletter 25 (2), 42–61, 2024
1732024
Social collaborative viewpoint regression with explainable recommendations
Z Ren, S Liang, P Li, S Wang, M de Rijke
WSDM 2017, 485-494, 2017
1722017
Learning to recommend accurate and diverse items
P Cheng, S Wang, J Ma, J Sun, H Xiong
WWW 2017, 183-192, 2017
1452017
Singular value decomposition based minutiae matching method for finger vein recognition
F Liu, G Yang, Y Yin, S Wang
Neurocomputing 145, 75-89, 2014
1362014
Hierarchical user profiling for e-commerce recommender systems
Y Gu, Z Ding, S Wang, D Yin
WSDM 2020, 223-231, 2020
1112020
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems
Y Gu, Z Ding, S Wang, L Zou, Y Liu, D Yin
CIKM 2020, 2493-2500, 2020
982020
Time Matters: Sequential Recommendation with Complex Temporal Information
W Ye, S Wang, X Chen, X Wang, Z Qin, D Yin
SIGIR 2020, 1459-1468, 2020
922020
Challenges of serendipity in recommender systems
D Kotkov, J Veijalainen, S Wang
WEBIST 2016, 2016
902016
How Does Serendipity Affect Diversity in Recommender Systems? A Serendipity-Oriented Greedy Algorithm
D Kotkov, J Veijalainen, S Wang
Computing 102, 393-411, 2020
822020
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
S Guo, L Zou, Y Liu, W Ye, S Cheng, S Wang, H Chen, D Yin, Y Chang
SIGIR 2021, 275-284, 2021
662021
Pre-trained Language Model based Ranking in Baidu Search
L Zou, S Zhang, H Cai, D Ma, S Cheng, D Shi, S Wang, Z Cheng, D Yin
KDD 2021, 4014-4022, 2021
642021
VSRank: A novel framework for ranking-based collaborative filtering
S Wang, J Sun, BJ Gao, J Ma
ACM Transactions on Intelligent Systems and Technology 5 (3), Article No. 51, 2014
622014
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
Y Liu, W Lu, S Cheng, D Shi, S Wang, Z Cheng, D Yin
KDD 2021, 3365-3375, 2021
612021
Learning to Tokenize for Generative Retrieval
W Sun, L Yan, Z Chen, S Wang, H Zhu, P Ren, Z Chen, D Yin, M de Rijke, ...
NeurIPS 2023, 2024
562024
Listwise Collaborative Filtering
S Huang, S Wang, TY Liu, J Ma, Z Chen, J Veijalainen
SIGIR 2015, 343-352, 2015
562015
Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval
Y Lu, Y Liu, J Liu, Y Shi, Z Huang, SFY Sun, H Tian, H Wu, S Wang, D Yin, ...
arXiv preprint arXiv:2205.09153, 2022
532022
A hybrid multigroup coclustering recommendation framework based on information fusion
S Huang, J Ma, P Cheng, S Wang
ACM Transactions on Intelligent Systems and Technology 6 (2), Article No. 27, 2015
532015
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