Ming Li
University of Amsterdam
I am Ming Li (李明), now a Postdoc Researcher at University of Amsterdam (UvA). I got my Ph.D. at IRLab, University of Amsterdam (UvA), supervised by Prof. Dr. Maarten de Rijke and Dr. Andrew Yates. I was a member in AIRLab in collaboration with Ahold Delhaize. I received my bachelor and master degree in Computer Science from University of Electronic Science and Technology of China, UESTC in 2016 and 2019, respectively.
Research Interest: Recommender Systems, Information Retrieval, Retrieval augmented machine learning, LLM.
Ph.D. Research Summary: Collaborated with Europe’s largest retail company (Ahold Delhaize) on recommendation research within the smart retail scenario, resulting in several publications in top-tier conferences/journals (RecSys, SIGIR, TOIS, TORS, etc); some related research findings have been applied to real-world applications.
Current Project: Now, I am currently working on building up the using\&fine-tuning LLM pipeline for Information Retrieval research.
I am on job market now!!! Feel free to contact me!
news
Jan 17, 2024 | Our paper “Domain Generalization in Time Series Forecasting” got accepted at ACM Transactions on Knowledge Discovery from Data!! |
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Dec 17, 2023 | Our paper “Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study” got accepted at ECIR’24!! |
Sep 27, 2023 | Our paper “Repetition and Exploration in Offline Reinforcement Learning-based Recommendations” got accepted at CIKM’23 Workshop! |
Jul 1, 2023 | Our paper “Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping” got accepted at RecSys’23!! |
Apr 17, 2023 | Our tutorial proposal “Complex Item Set Recommendation” got accepted at SIGIR’23!! |
Apr 17, 2023 | Our paper “Who Will Purchase this Item Next? Reverse Next Period Recommendation in Grocery Shopping” got accepted at ACM Transactions on Recommender Systems!! |
Apr 1, 2023 | Our paper “Repetition and Exploration in Sequential Recommendation” got accepted at SIGIR’23!! |
Feb 27, 2023 | Our paper “A Next Basket Recommendation Reality Check” got accepted at ACM Transactions on Information Systems (TOIS)!! |
Oct 27, 2022 | Our paper “A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping” got accepted at WSDM’23! |
May 3, 2022 | One patent w.r.t. distributed deep learning framework got granted, check it here. |
Apr 1, 2022 | Our paper “ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping” got accepted at SIGIR’22! |
Nov 17, 2021 | We participanted the TREC 2021 fair ranking track, check our solutions here. |
Jul 1, 2021 | I joined AIRLab (inside IRLab) which is a joint UvA-Ahold Delhaize industry lab! |
Nov 1, 2020 | I joined IRLab (UvA) as a Ph.D. student working on recommender system, excited to explore this new domain!! |
selected publications
- Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?In SIGIR 2024: 47th international ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2024
- Repetition and Exploration in RecommendationIn Ph.D. Thesis, Jul 2024
- Repetition and Exploration in Offline Reinforcement Learning-based RecommendationsIn CIKM 2023 Workshop on Deep Reinforcement Learning for Information Retrieval, May 2023
- Measuring Item Fairness in Next Basket Recommendation: A Reproducibility StudyIn ECIR 2024: 46th European Conference on Information Retrieval, Mar 2024
- Domain Generalization in Time Series ForecastingACM Transactions on Knowledge Discovery from Data, Mar 2024
- Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery ShoppingIn RecSys 2023: 17th ACM Conference on Recommender Systems, Sep 2023
- Repetition and Exploration in Sequential RecommendationIn SIGIR 2023: 46th international ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2023
- Complex Item Set RecommendationIn SIGIR 2023: 46th international ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2023
- Who Will Purchase this Item Next? Reverse Next Period Recommendation in Grocery ShoppingACM Transactions on Recommender Systems, Sep 2023
- A Next Basket Recommendation Reality CheckACM Transactions on Information Systems, Sep 2023
- A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery ShoppingIn WSDM 2023: The Sixteenth International Conference on Web Search and Data Mining, Feb 2023
- ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery ShoppingIn SIGIR 2022: 45th international ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022
- A distributed deep learning framework and method based on Pytorch&SparkIn CN Patent, CN109,032,671 B, Jul 2022