K. Roitero, M. Soprano, and S. Mizzaro. Effectiveness evaluation with a subset of topics: A practical approach. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 1145–1148. ACM, 2018.
Mese: Novembre 2018
IREvalOO: An object oriented framework for retrieval evaluation
K. Roitero, E. Maddalena, Y. Ponte, and S. Mizzaro. IREvalOO: An object oriented framework for retrieval evaluation. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 913–916. ACM, 2018.
Do easy topics predict effectiveness better than difficult topics?
K. Roitero, E. Maddalena, and S. Mizzaro. Do easy topics predict effectiveness better than difficult topics? In European Conference on Information Retrieval, pages 605–611. Springer, Cham, 2017.
On fine-grained relevance scales
K. Roitero, E. Maddalena, G. Demartini, and S. Mizzaro. On fine-grained relevance scales. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 675–684. ACM, 2018.
Query performance prediction and effectiveness evaluation without relevance judgments: Two sides of the same coin
S. Mizzaro, J. Mothe, K. Roitero, and M. Z. Ullah. Query performance prediction and effectiveness evaluation without relevance judgments: Two sides of the same coin. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 1233–1236. ACM, 2018.
Considering assessor agreement in IR evaluation
E. Maddalena, K. Roitero, G. Demartini, and S. Mizzaro. Considering assessor agreement in IR evaluation. In Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, pages 75–82. ACM, 2017.
Human-based query difficulty prediction
A.-G. Chifu, S. Dejean, S. Mizzaro, and J. Mothe. Human-based query difficulty prediction. In European Conference on Information Retrieval, pages 343–356. Springer, Cham, 2017.
Let’s agree to disagree: Fixing agreement measures for crowdsourcing
A. Checco, A. Roitero, E. Maddalena, S. Mizzaro, and G. Demartini. Let’s agree to disagree: Fix- ing agreement measures for crowdsourcing. In Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP-17), pages 11–20. AAAI Press, 2017.
A formal account of effectiveness evaluation and ranking fusion
E. Amigó, F. Giner, S. Mizzaro, and D. Spina. A formal account of effectiveness evaluation and ranking fusion. In Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, pages 123–130. ACM, 2018.
Are we on the right track?: An examination of information retrieval methodologies
E. Amigó, H. Fang, S. Mizzaro, and C. Zhai. Are we on the right track?: An examination of information retrieval methodologies. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 997–1000. ACM, 2018.