I am Yuanna Liu, a Ph.D. student from the University of Amsterdam (UvA), supervised by Prof. dr. Maarten de Rijke and dr. Mohammad Aliannejadi.

I have been interested in building trustworthy recommender systems, with a particular focus on:

• Evaluation and optimization of beyond-accuracy objectives, including fairness, diversity and bias mitigation in recommender systems
• Generative recommendation: semantic ID-based recommenders and LLM-as-recommenders

News

• April 2026: I am happy to be selected as a DAAD AInet Fellow (AI in Neuroscience, 2026).

Publications

A Systematic Reproducibility Study of BSARec for Sequential Recommendation
Jan Hutter, Hua Chang Bakker, Stan Fris, Madelon Bernardy, Yuanna Liu
ECIR 2026: The 48th European Conference on Information Retrieval
[pdf] [code]

A Reproducibility Study of Product-side Fairness in Bundle Recommendation
Huy Son Nguyen^#, Yuanna Liu^#(co-first author), Masoud Mansoury, Mohammad Aliannejadi, Alan Hanjalic, Maarten de Rijke
RecSys 2025: The 19th ACM Conference on Recommender Systems
[pdf] [code]

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke
SIGIR 2025: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
[pdf] [code]

Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke
ECIR 2025: The 47th European Conference on Information Retrieval
[pdf] [code]

Are We Really Achieving Better Beyond-accuracy Performance in Next Basket Recommendation?
Ming Li^#, Yuanna Liu^#(co-first author), Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke
SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
[pdf] [code]

Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study
Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke
ECIR 2024: The 46th European Conference on Information Retrieval
[pdf] [code]

Fuzzy Entity Alignment via Knowledge Embedding with Awareness of Uncertainty Measure
Wen Jiang, Yuanna Liu, Xinyang Deng
Neurocomputing, 2022, 468: 97-110.

A New Distance Measure of Interval-Valued Intuitionistic Fuzzy Sets and Its Application in Decision Making
Yuanna Liu, Wen Jiang
Soft Computing, 2020, 24(9): 6987-7003.

Teaching & Supervision

• Tutorial organization:
  • Fairness in Information Retrieval from an Economic Perspective
    Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
    SIGIR 2025: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [website]
  • Economic Perspectives on Fairness in Information Retrieval
    Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
    ECIR 2026: The 48th European Conference on Information Retrieval
  • Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval
    Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
    WWW 2026: The ACM Web Conference
  • Fairness in Information Retrieval: An Economic Perspective
    Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
    ICMR 2026: The 16th ACM International Conference on Multimedia Retrieval
• Teaching assistant:
  • Recommender Systems, June, 2026, University of Amsterdam; project design & supervision
  • Recommender Systems, June, 2025, University of Amsterdam; guest lecture, project design & supervision
  • Recommender Systems, June, 2024, University of Amsterdam; guest lecture, project design & supervision
  • Information Retrieval 1, Feb. - Mar., 2024, University of Amsterdam; lab, grading, exam designing
  • Information Retrieval 1, Feb., 2026, University of Amsterdam; paper presentation grading

Resources

I have contributed to open-source toolkit in information retrieval:

• FairDiverse provides a comprehensive framework for incorporating fairness- and diversity-aware approaches, including pre-processing, in-processing, and post-processing methods, into different pipeline stages of retrieval and recommendation tasks.

Academic Service

• Journal reviewer: ACM Transactions on Information Systems (TOIS), Transactions on Knowledge and Data Engineering (TKDE)
• Conference reviewer: CLEF 2024, ICTIR 2023, ECIR 2026, SIGIR 2026, CIKM 2026
• Sub-reviewer: SIGIR 2024, WSDM 2025, ECIR 2025, WSDM 2026
• Volunteer: 15th European Summer School on Information Retrieval (ESSIR 2024)

Contact

• Email: y.liu8 AT uva.nl
• Address: Lab42, Science Park 900, 1098 XH Amsterdam