Please let me know if these references/sites are useful to you:

1.  Online Learning to Rank in Stochastic Click Models

https://arxiv.org/abs/1703.02527Mar 7, 2017 ... To overcome this challenge, we propose a novel algorithm, which we call MergeRank, for learning to rank in a class of click models that satisfy ...

2.  Online Learning to Rank in Click Models

https://pdfs.semanticscholar.org/1355/4f8fd86a75220f132f199ac5126752af8d7f.pdfMar 7, 2017 ... common framework for learning to rank in a general class of click models, which includes both the CM (Craswell et al., 2008) and the PBM ...

3.  Explore Click Models for Search Ranking - Yuchen Zhang

https://zhangyuc.github.io/files/wang10cikm.pdfIn this paper, we focus on learning a ranking function by taking the results from a click model into account. Thus, besides the editorial relevance data arising from ...

Dennis

Dennis Mazur

Hi Dennis,

Thank you very much. The links do not work. However, I also found this chapter by Tie-Yaun and he mentioned some issues in click models and also he created LETOR datasets (MSLR-WEB10K and MSLR-WEB30K) that include actual user clicks as features and user dwell time feature:

https://link.springer.com/chapter/10.1007/978-3-642-14267-3_13

Best regards

Osman