| Modeling the sequential dependence among audience multi-step conversions with multi-task learning in targeted display advertising D Xi, Z Chen, P Yan, Y Zhang, Y Zhu, F Zhuang, Y Chen Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 74 | 2021 |
| E-commerce item recommendation based on field-aware factorization machine P Yan, X Zhou, Y Duan Proceedings of the 2015 international ACM recommender systems challenge, 1-4, 2015 | 23 | 2015 |
| Practical counterfactual policy learning for top-k recommendations Y Liu, JN Yen, B Yuan, R Shi, P Yan, CJ Lin Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 11 | 2022 |
| Gbdt and bert: a hybrid solution for recognizing citation intent Z Wang, R Shi, S Li, P Yan Studies 55, 12c2a39230188, 2020 | 7 | 2020 |
| Session-based item recommendation with pairwise features Z Wang, Y Gao, H Chen, P Yan Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019 | 6 | 2019 |
| Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach X Chen, S Bai, Y Wei, Y Zhao, P Yan, H Jiang Transportation Research Part E: Logistics and Transportation Review 171, 103018, 2023 | 4 | 2023 |
| Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework D Xi, Z Chen, Y Wang, H Cui, C Peng, F Zhuang, P Yan arXiv preprint arXiv:2404.08361, 2024 | | 2024 |
| Calibrating the Confidence of Large Language Models by Eliciting Fidelity M Zhang, M Huang, R Shi, L Guo, C Peng, P Yan, Y Zhou, X Qiu arXiv preprint arXiv:2404.02655, 2024 | | 2024 |
