All Outputs (2)

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.