All Outputs (3)

Learning to adaptively rank document retrieval system configurations (2018)
Journal Article
Deveaud, R., Mothe, J., Ullah, M. Z., & Nie, J. (2019). Learning to adaptively rank document retrieval system configurations. ACM transactions on information systems, 37(1), Article 3. https://doi.org/10.1145/3231937

Modern Information Retrieval (IR) systems have become more and more complex, involving a large number of parameters. For example, a system may choose from a set of possible retrieval models (BM25, language model, etc.), or various query expansion par... Read More about Learning to adaptively rank document retrieval system configurations.

Query performance prediction and effectiveness evaluation without relevance judgments: Two sides of the same coin (2018)
Presentation / Conference Contribution
Mizzaro, S., Mothe, J., Roitero, K., & Ullah, M. Z. (2018). Query performance prediction and effectiveness evaluation without relevance judgments: Two sides of the same coin. In SIGIR '18: The 41st International ACM SIGIR Conference on Research & Develop

Some methods have been developed for automatic effectiveness evaluation without relevance judgments. We propose to use those methods, and their combination based on a machine learning approach, for query performance prediction. Moreover, since predic... Read More about Query performance prediction and effectiveness evaluation without relevance judgments: Two sides of the same coin.

Query performance prediction focused on summarized letor features (2018)
Presentation / Conference Contribution
Chifu, A., Laporte, L., Mothe, J., & Ullah, M. Z. (2018). Query performance prediction focused on summarized letor features. In SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (1177-1180). https:/

Query performance prediction (QPP) aims at automatically estimating the information retrieval system effectiveness for any user's query. Previous work has investigated several types of pre- and post-retrieval query performance predictors; the latter... Read More about Query performance prediction focused on summarized letor features.