Research Papers

If you use QuickRank, please acknowledge the following paper:

  • Capannini, G., Lucchese, C., Nardini, F. M., Orlando, S., Perego, R., and Tonellotto, N. Quality versus efficiency in document scoring with learning-to-rank models. Information Processing & Management (2016). LINK.

If you use the CLEAVER, please acknowledge the following paper:

  • C. Lucchese, F. M. Nardini, S. Orlando, R. Perego, F. Silvestri, S. Trani. Post-Learning Optimization of Tree Ensembles for Efficient Ranking. ACM SIGIR Conference on Research and Development in Information Retrieval, (2016). LINK.

Featured by QuickRank

QuickRank was used in the following papers:

  • Claudio Lucchese Andrea Gigli, Franco Maria Nardini, and Raffaele Perego. Fast feature selection for learning to rank. In ICTIR ’16: International Conference on the Theory of Information Retrieval, 2016.
  • Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, and Gabriele Tolomei. Learning to rank user queries to detect search tasks. In ICTIR ’16: International Conference on the Theory of Information Retrieval, 2016.
  • Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, and Rossano Venturini.Exploiting cpu simd extensions to speed-up document scoring with tree ensembles. In SIGIR ’16: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016.
  • C. Lucchese, F. M. Nardini, S. Orlando, R. Perego, F. Silvestri, S. Trani Post-Learning Optimization of Tree Ensembles for Efficient Ranking. Short Paper. SIGIR 2016: Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, July 2016. LINK
  • C. Lucchese, F. M. Nardini, S. Orlando, R. Perego, N. Tonellotto, R. Venturini. QuickScorer: a Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. SIGIR 2015: Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 2015.BEST PAPER AWARD. LINK
  • Gabriele Capannini, Domenico Dato, Claudio Lucchese, Monica Mori, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto. QuickRank: a C++ Suite of Learning to Rank Algorithms.  Proceedings of the 6th Italian Information Retrieval Workshop (IIR 2015). Cagliari (Italy). LINK

We will be happy to know that you are using QuickRank and to acknowledge you!