Online Learning to Rank
People involved:
About this project
To be updated
Methods for Effective Online Learning to Rank: Joining Counterfactual and Online Learning
To be updated
Methods for Effective Online Learning to Rank: exploit Reinforcement Learning
To be updated
Does OLTR adapt to intent changes?
To be updated
Relevant Publications
Online Learning to Rank
- Shengyao Zhuang and Guido Zuccon. 2020. Counterfactual Online Learning to Rank. In 42nd European Conference on IR Research.
- Shengyao Zhuang and Guido Zuccon. 2021. How do Online Learning to Rank Methods Adapt to Changes of Intent?. In The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21).
- Shuyi Wang and Shengyao Zhuang and Guido Zuccon. 2021. Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
- Shuyi Wang and Bing Liu and Shengyao Zhuang and Guido Zuccon. 2021. Effective and Privacy-preserving Federated Online Learning to Rank. In The Proceedings of the 2021 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2021).