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:

• Generative recommendation: learning semantic IDs through the quantization of item metadata and user–item interactions, and designing transformer-based generative models for next-item recommendation
• Beyond-accuracy objective optimization, including fairness and bias mitigation in recommendation algorithms.

My research is driven by the belief that
observable complexity arises from an underlying generative process,
and that learning this process is the key to prediction.

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
• Teaching assistant:
  • 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
• 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