This project is designed to run experiments on online learning to rank methods for information retrieval. Please see the README for more information on how to install, run and extend the code. The framework was presented at the Living Labs workshop at CIKM2013.
The following versions are available:
- For the latest version, see Lerot on bitbucket.
- online-learning-framework-2.0.tgz – implements the experiments described in Katja Hofmann’s dissertation “Fast and Reliable Online Learning to Rank for Information Retrieval”
- online-learning-framework-1.0.tgz – implements the experiments described in the paper “Reusing Historical Interaction Data For Faster Online Learning To Rank For IR” by Katja Hofmann, Anne Schuth, Shimon Whiteson, and Maarten de Rijke