| A Survey of Serendipity in Recommender Systems D Kotkov, S Wang, J Veijalainen Knowledge-Based Systems 111, 180-192, 2016 | 419 | 2016 |
| 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 | 415 | 2024 |
| 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 | 354 | 2023 |
| 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, 2023 | 272 | 2023 |
| Social Collaborative Viewpoint Regression with Explainable Recommendations Z Ren, S Liang, P Li, S Wang, M de Rijke WSDM 2017, 485-494, 2017 | 180 | 2017 |
| Learning to Recommend Accurate and Diverse Items P Cheng, S Wang, J Ma, J Sun, H Xiong WWW 2017, 183-192, 2017 | 151 | 2017 |
| Singular Value Decomposition based Minutiae Matching Method for Finger Vein Recognition F Liu, G Yang, Y Yin, S Wang Neurocomputing 145, 75-89, 2014 | 141 | 2014 |
| Hierarchical User Profiling for E-commerce Recommender Systems Y Gu, Z Ding, S Wang, D Yin WSDM 2020, 223-231, 2020 | 123 | 2020 |
| 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 | 114 | 2020 |
| Challenges of Serendipity in Recommender Systems D Kotkov, J Veijalainen, S Wang WEBIST 2016, 2016 | 100 | 2016 |
| 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 | 97 | 2020 |
| How Does Serendipity Affect Diversity in Recommender Systems? A Serendipity-Oriented Greedy Algorithm D Kotkov, J Veijalainen, S Wang Computing 102, 393-411, 2020 | 93 | 2020 |
| 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, 2023 | 87 | 2023 |
| 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 | 81 | 2021 |
| 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 | 74 | 2021 |
| 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 | 72 | 2021 |
| 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 | 62 | 2014 |
| 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 | 58 | 2022 |
| Listwise Collaborative Filtering S Huang, S Wang, TY Liu, J Ma, Z Chen, J Veijalainen SIGIR 2015, 343-352, 2015 | 56 | 2015 |
| 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 | 53 | 2015 |
Dawei YinSenior Director of Search Science at Baidu, Inc.Email verificata su baidu.com