| Learning hierarchical representation model for nextbasket recommendation P Wang, J Guo, Y Lan, J Xu, S Wan, X Cheng Proceedings of the 38th International ACM SIGIR conference on Research and …, 2015 | 486 | 2015 |
| Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ... proceedings of the 30th acm international conference on information …, 2021 | 206 | 2021 |
| KERL: A knowledge-guided reinforcement learning model for sequential recommendation P Wang, Y Fan, L Xia, WX Zhao, SZ Niu, J Huang Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 137 | 2020 |
| Learning over knowledge-base embeddings for recommendation Y Zhang, Q Ai, X Chen, P Wang arXiv preprint arXiv:1803.06540, 2018 | 136 | 2018 |
| The world is binary: Contrastive learning for denoising next basket recommendation Y Qin, P Wang, C Li Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 118 | 2021 |
| Revisiting alternative experimental settings for evaluating top-n item recommendation algorithms WX Zhao, J Chen, P Wang, Q Gu, JR Wen Proceedings of the 29th ACM International Conference on Information …, 2020 | 91 | 2020 |
| Your cart tells you: Inferring demographic attributes from purchase data P Wang, J Guo, Y Lan, J Xu, X Cheng Proceedings of the ninth ACM international conference on web search and data …, 2016 | 86 | 2016 |
| Hierarchical matching network for crime classification P Wang, Y Fan, S Niu, Z Yang, Y Zhang, J Guo proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 83 | 2019 |
| Modeling dynamic pairwise attention for crime classification over legal articles P Wang, Z Yang, S Niu, Y Zhang, L Zhang, SZ Niu the 41st international ACM SIGIR conference on research & development in …, 2018 | 65 | 2018 |
| Joint knowledge pruning and recurrent graph convolution for news recommendation Y Tian, Y Yang, X Ren, P Wang, F Wu, Q Wang, C Li Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 56 | 2021 |
| Next Basket Recommendation with Neural Networks. S Wan, Y Lan, P Wang, J Guo, J Xu, X Cheng RecSys Posters, 2015 | 45 | 2015 |
| Modeling retail transaction data for personalized shopping recommendation P Wang, J Guo, Y Lan Proceedings of the 23rd ACM international conference on conference on …, 2014 | 43 | 2014 |
| A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms WX Zhao, Z Lin, Z Feng, P Wang, JR Wen ACM Transactions on Information Systems 41 (2), 1-41, 2022 | 39 | 2022 |
| Suppressive activities of mangiferin on human epithelial ovarian cancer Z Zeng, C Lin, S Wang, P Wang, W Xu, W Ma, J Wang, Q Xiang, Y Liu, ... Phytomedicine 76, 153267, 2020 | 37 | 2020 |
| Overexpression of IGF2BP3 as a potential oncogene in ovarian clear cell carcinoma H Liu, Z Zeng, M Afsharpad, C Lin, S Wang, H Yang, S Liu, LE Kelemen, ... Frontiers in oncology 9, 1570, 2020 | 35 | 2020 |
| Unsupervised author disambiguation using heterogeneous graph convolutional network embedding Z Qiao, Y Du, Y Fu, P Wang, Y Zhou 2019 IEEE international conference on big data (Big Data), 910-919, 2019 | 33 | 2019 |
| Modality matches modality: Pretraining modality-disentangled item representations for recommendation T Han, P Wang, S Niu, C Li Proceedings of the ACM Web Conference 2022, 2058-2066, 2022 | 32 | 2022 |
| Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. X Tong, P Wang, C Li, L Xia, S Niu IJCAI, 1593-1599, 2021 | 32 | 2021 |
| Unified collaborative filtering over graph embeddings P Wang, H Chen, Y Zhu, H Shen, Y Zhang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 28 | 2019 |
| Learning to predict charges for judgment with legal graph S Chen, P Wang, W Fang, X Deng, F Zhang Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 22 | 2019 |
