| Fairness-aware tensor-based recommendation Z Zhu, X Hu, J Caverlee Proceedings of the 27th ACM International Conference on Information and …, 2018 | 44 | 2018 |
| Improving top-k recommendation via jointcollaborative autoencoders Z Zhu, J Wang, J Caverlee The World Wide Web Conference, 3483-3482, 2019 | 9 | 2019 |
| Modeling and detecting student attention and interest level using wearable computers Z Zhu, S Ober, R Jafari 2017 IEEE 14th international conference on wearable and implantable body …, 2017 | 7 | 2017 |
| Pseudo-implicit feedback for alleviating data sparsity in top-k recommendation Y He, H Chen, Z Zhu, J Caverlee 2018 IEEE International Conference on Data Mining (ICDM), 1025-1030, 2018 | 6 | 2018 |
| Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations X Zhao, Z Zhu, Y Zhang, J Caverlee Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 3 | 2020 |
| Key opinion leaders in recommendation systems: opinion elicitation and diffusion J Wang, K Ding, Z Zhu, Y Zhang, J Caverlee Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 3 | 2020 |
| Fairness-aware recommendation of information curators Z Zhu, J Wang, Y Zhang, J Caverlee arXiv preprint arXiv:1809.03040, 2018 | 2 | 2018 |
| Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems Z Zhu, J Wang, J Caverlee Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 1 | 2020 |
| Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition Y He, Z Zhu, Y Zhang, Q Chen, J Caverlee arXiv preprint arXiv:2010.03746, 2020 | | 2020 |
| Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation Y Zhang, Z Zhu, Y He, J Caverlee Fourteenth ACM Conference on Recommender Systems, 43-52, 2020 | | 2020 |
| Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning Z Zhu, Y He, Y Zhang, J Caverlee Fourteenth ACM Conference on Recommender Systems, 551-556, 2020 | | 2020 |
| Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation Z Zhu, S Sefati, P Saadatpanah, J Caverlee Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | | 2020 |
| Addressing the Target Customer Distortion Problem in Recommender Systems X Zhao, Z Zhu, M Alfifi, J Caverlee Proceedings of The Web Conference 2020, 2969-2975, 2020 | | 2020 |
| User Recommendation in Content Curation Platforms J Wang, Z Zhu, J Caverlee Proceedings of the 13th International Conference on Web Search and Data …, 2020 | | 2020 |
