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Ziwei Zhu
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Cited by
Year
Fairness-aware tensor-based recommendation
Z Zhu, X Hu, J Caverlee
Proceedings of the 27th ACM international conference on information and …, 2018
1102018
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
522020
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
342020
Popularity-opportunity bias in collaborative filtering
Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
322021
Improving top-k recommendation via jointcollaborative autoencoders
Z Zhu, J Wang, J Caverlee
The World Wide Web Conference, 3483-3482, 2019
312019
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
212020
Session-based recommendation with hypergraph attention networks
J Wang, K Ding, Z Zhu, J Caverlee
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
182021
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
172017
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
152020
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
142020
Fairness among new items in cold start recommender systems
Z Zhu, J Kim, T Nguyen, A Fenton, J Caverlee
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
122021
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
112020
Popularity Bias in Dynamic Recommendation
Z Zhu, Y He, X Zhao, J Caverlee
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
102021
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
102020
User Recommendation in Content Curation Platforms
J Wang, Z Zhu, J Caverlee
Proceedings of the 13th International Conference on Web Search and Data …, 2020
62020
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
62018
Fairness-aware recommendation of information curators
Z Zhu, J Wang, Y Zhang, J Caverlee
arXiv preprint arXiv:1809.03040, 2018
52018
Rabbit holes and taste distortion: Distribution-aware recommendation with evolving interests
X Zhao, Z Zhu, J Caverlee
Proceedings of the Web Conference 2021, 888-899, 2021
42021
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
42020
End-to-End Learning for Fair Ranking Systems
J Kotary, F Fioretto, P Van Hentenryck, Z Zhu
Proceedings of the ACM Web Conference 2022, 3520-3530, 2022
22022
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Articles 1–20