Abstract
The high potential of query performance prediction for IR tasks, and the significant challenge involved, has led to many research efforts in developing various prediction methods. Existing prediction approaches are roughly categorized to pre-retrieval methods and post-retrieval methods. Pre-retrieval approaches predict the quality of the search results before the search takes place, thus only the raw query, and statistics of the query terms gathered at indexing time, can be exploited for prediction. In contrast, post-retrieval methods can additionally analyze the search results. Figure 3.1 presents a general taxonomy of existing prediction approaches.
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Carmel, D., Yom-Tov, E. (2010). Query Performance Prediction Methods. In: Estimating the Query Difficulty for Information Retrieval. Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer, Cham. https://doi.org/10.1007/978-3-031-02272-2_3
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DOI: https://doi.org/10.1007/978-3-031-02272-2_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-01144-3
Online ISBN: 978-3-031-02272-2
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