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Tasks, queries, and rankers in pre-retrieval performance prediction

conference contribution
posted on 2024-11-03, 13:39 authored by Paul Thomas, Falk ScholerFalk Scholer, Peter Bailey, Alistair Moffat
Query performance prediction estimates the effectiveness of a query in advance of human judgements.Accurate prediction could be used, for example, to trigger special processing, select query variants, or choose whether to search at all. Prediction evaluations have not distinguished effects due to query wording from effects due to the underlying information need, nor from effects due to performance of the retrieval system itself. Here we use five rankers, 100 tasks, and 28, 869 queries to distinguish these three effects over six pre-retrieval predictors. We see that task effects dominate those due to query or ranker; that many "query performance predictors" are in fact predicting task difficulty; and that this makes it difficult to use these algorithms.

Funding

Effective summaries for search results

Australian Research Council

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Related Materials

  1. 1.
    DOI - Is published in 10.1145/3166072.3166079
  2. 2.
    ISBN - Is published in 9781450363914 (urn:isbn:9781450363914)

Volume

2017-December

Start page

1

End page

4

Total pages

4

Outlet

Proceedings of the 22nd Australasian Document Computing Symposium (ADCS 2017)

Editors

Bevan Koopman, Guido Zuccon, and Mark Carman

Name of conference

ADCS 2017

Publisher

Association for Computing Machinery

Place published

New York, United States

Start date

2017-12-07

End date

2017-12-08

Language

English

Copyright

© 2017 Copyright held by the owner/author(s).

Former Identifier

2006106717

Esploro creation date

2022-08-21

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