On Including the User Dynamic in Learning to Rank

Author:

Ferro Nicola1,Lucchese Claudio2,Maistro Maria1,Perego Raffaele2

Affiliation:

1. University of Padua, Padua, Italy

2. ISTI-CNR, Pisa, Italy

Funder

EC H2020 Program

SID 2016

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items;ACM Transactions on Intelligent Systems and Technology;2024-03-26

2. Can Clicks Be Both Labels and Features?;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

3. Boosting learning to rank with user dynamics and continuation methods;Information Retrieval Journal;2019-11-05

4. Exploiting User Signals and Stochastic Models to Improve Information Retrieval Systems and Evaluation;ACM SIGIR Forum;2019-01-17

5. Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis;Social Network Analysis and Mining;2018-06-01

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