Estimating the Query Difficulty for Information Retrieval (Record no. 85068)
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fixed length control field | 03786nam a22004695i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-02272-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163852.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2010 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031022722 |
-- | 978-3-031-02272-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 004.6 |
100 1# - AUTHOR NAME | |
Author | Carmel, David. |
245 10 - TITLE STATEMENT | |
Title | Estimating the Query Difficulty for Information Retrieval |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2010. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | X, 77 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Information Concepts, Retrieval, and Services, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction - The Robustness Problem of Information Retrieval -- Basic Concepts -- Query Performance Prediction Methods -- Pre-Retrieval Prediction Methods -- Post-Retrieval Prediction Methods -- Combining Predictors -- A General Model for Query Difficulty -- Applications of Query Difficulty Estimation -- Summary and Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is desirable that IR systems will be able to identify "difficult" queries so they can be handled properly. Understanding why some queries are inherently more difficult than others is essential for IR, and a good answer to this important question will help search engines to reduce the variance in performance, hence better servicing their customer needs. Estimating the query difficulty is an attempt to quantify the quality of search results retrieved for a query from a given collection of documents. This book discusses the reasons that cause search engines to fail for some of the queries, and then reviews recent approaches for estimating query difficulty in the IR field. It then describes a common methodology for evaluating the prediction quality of those estimators, and experiments with some of the predictors applied by various IR methods over several TREC benchmarks. Finally, it discusses potential applications that can utilize query difficulty estimators by handling each query individually and selectively, based upon its estimated difficulty. Table of Contents: Introduction - The Robustness Problem of Information Retrieval / Basic Concepts / Query Performance Prediction Methods / Pre-Retrieval Prediction Methods / Post-Retrieval Prediction Methods / Combining Predictors / A General Model for Query Difficulty / Applications of Query Difficulty Estimation / Summary and Conclusions. |
700 1# - AUTHOR 2 | |
Author 2 | Yom-Tov, Elad. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02272-2 |
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Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2010. |
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-- | computer |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer networks . |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Communication Networks. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1947-9468 |
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-- | ZDB-2-SXSC |
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