Ziwei Zhu


2018

doi dblp
Fairness-Aware Tensor-Based Recommendation
Ziwei Zhu | Xia Hu | James Caverlee
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2019

doi dblp
Improving Top-K Recommendation via JointCollaborative Autoencoders
Ziwei Zhu | Jianling Wang | James Caverlee
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2020

doi dblp
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
Ziwei Zhu | Jianling Wang | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Ziwei Zhu | Shahin Sefati | Parsa Saadatpanah | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
User Recommendation in Content Curation Platforms
Jianling Wang | Ziwei Zhu | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang | Kaize Ding | Ziwei Zhu | Yin Zhang | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations
Xing Zhao | Ziwei Zhu | Yin Zhang | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Addressing the Target Customer Distortion Problem in Recommender Systems
Xing Zhao | Ziwei Zhu | Majid Alfifi | James Caverlee
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2021

doi dblp
Fairness among New Items in Cold Start Recommender Systems
Ziwei Zhu | Jingu Kim | Trung Nguyen | Aish Fenton | James Caverlee
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

doi dblp
Popularity-Opportunity Bias in Collaborative Filtering
Ziwei Zhu | Yun He | Xing Zhao | Yin Zhang | Jianling Wang | James Caverlee
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests
Xing Zhao | Ziwei Zhu | James Caverlee
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2022

doi dblp
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning
Ziwei Zhu | James Caverlee
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
End-to-End Learning for Fair Ranking Systems
James Kotary | Ferdinando Fioretto | Pascal Van Hentenryck | Ziwei Zhu
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022