Report on the 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023

Author:

Faggioli Guglielmo1,Ferro Nicola1,Mothe Josiane2,Raiber Fiana3,Fröbe Maik4

Affiliation:

1. University of Padua, Italy

2. INSPE, Université de Toulouse, France

3. Yahoo Research, Israel

4. Friedrich-Schiller-Universität Jena, Germany

Abstract

Query Performance Prediction (QPP) is currently primarily applied to ad-hoc retrieval tasks. The Information Retrieval (IR) field is reaching new heights thanks to recent advances in large language models and neural networks, as well as emerging new ways of searching, such as conversational search. Such advancements are quickly spreading to adjacent research areas, including QPP, necessitating a reconsideration of how we perform and evaluate QPP. This workshop sought to elicit discussion on three topics related to the future of QPP: exploiting advances in IR to improve QPP, instantiating QPP on new search paradigms, and evaluating QPP on new tasks. Date: 6 April 2023. Website: https://qpp.dei.unipd.it/.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Reference23 articles.

1. David Carmel and Elad Yom-Tov . Estimating the query difficulty for information retrieval. Synthesis Lectures on Information Concepts , Retrieval, and Services , 2 ( 1 ): 1 -- 89 , 2010 . David Carmel and Elad Yom-Tov. Estimating the query difficulty for information retrieval. Synthesis Lectures on Information Concepts, Retrieval, and Services, 2(1):1--89, 2010.

2. Ben Carterette . System effectiveness, user models, and user utility: a conceptual framework for investigation . In Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011 , pages 903 -- 912 , 2011 . Ben Carterette. System effectiveness, user models, and user utility: a conceptual framework for investigation. In Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, pages 903--912, 2011.

3. Suchana Datta , Debasis Ganguly , Derek Greene , and Mandar Mitra . On the feasibility and robustness of pointwise evaluation of query performance prediction . In Faggioli et al. [2023b] , pages 1 -- 6 . URL http://ceur-ws.org/Vol-3366/#paper-01. Suchana Datta, Debasis Ganguly, Derek Greene, and Mandar Mitra. On the feasibility and robustness of pointwise evaluation of query performance prediction. In Faggioli et al. [2023b], pages 1--6. URL http://ceur-ws.org/Vol-3366/#paper-01.

4. Suchana Datta , Debasis Ganguly , Josiane Mothe , and Md Zia Ullah . Combining word embedding interactions and LETOR feature evidences for supervised QPP . In Faggioli et al. [2023b] , pages 7 -- 14 . URL http://ceur-ws.org/Vol-3366/#paper-02. Suchana Datta, Debasis Ganguly, Josiane Mothe, and Md Zia Ullah. Combining word embedding interactions and LETOR feature evidences for supervised QPP. In Faggioli et al. [2023b], pages 7--14. URL http://ceur-ws.org/Vol-3366/#paper-02.

5. Romain Deveaud , Josiane Mothe , Md Zia Ullah, and Jian-Yun Nie. Learning to adaptively rank document retrieval system configurations. ACM Transactions on Information Systems (TOIS), 37(1):1--41 , 2018 . Romain Deveaud, Josiane Mothe, Md Zia Ullah, and Jian-Yun Nie. Learning to adaptively rank document retrieval system configurations. ACM Transactions on Information Systems (TOIS), 37(1):1--41, 2018.

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