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Estimating the query difficulty for information retrieval (Record no. 561845)

000 -LEADER
fixed length control field 05507nam a2200613 i 4500
001 - CONTROL NUMBER
control field 6813364
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152902.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100504s2010 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781608453573 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781608453580 (electronic bk.)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00235ED1V01Y201004ICR015
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00006009
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)631830853
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5105.884
Item number .C274 2010
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 025.04
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Carmel, David.
245 10 - TITLE STATEMENT
Title Estimating the query difficulty for information retrieval
Medium [electronic resource] /
Statement of responsibility, etc. David Carmel and Elad Yom-Tov.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of publisher, distributor, etc. Morgan & Claypool,
Date of publication, distribution, etc. c2010.
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic text (ix, 77 p. : ill.) :
Other physical details digital file.
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on information concepts, retrieval, and services,
International Standard Serial Number 1947-9468 ;
Volume/sequential designation # 15
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
500 ## - GENERAL NOTE
General note Series from website.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 69-71).
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9. Summary and conclusions -- Summary -- What next -- Concluding remarks -- Bibliography -- Authors' biographies.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8. Applications of query difficulty estimation -- Feedback: to the user and to the system -- Federation and metasearch -- Content enhancement using missing content analysis -- Selective query expansion -- Selective expansion based on query drift estimation -- Adaptive use of pseudo relevance feedback -- Other uses of query difficulty prediction -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. A general model for query difficulty -- Geometrical illustration -- General model -- Validating the general model -- The relationship between aspect coverage and query difficulty -- Validating the relationship between aspect coverage and query difficulty -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Combining predictors -- Linear regression -- Combining pre-retrieval predictors -- Combining post-retrieval predictors -- Combining predictors based on statistical decision theory -- Evaluating the UEF framework -- Results -- Combining predictors in the UEF model -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Post-retrieval prediction methods -- Clarity -- Definition -- Examples -- Other clarity measures -- Robustness -- Query perturbation -- Document perturbation -- Retrieval perturbation -- Cohesion -- Score distribution analysis -- Evaluating post-retrieval methods -- Prediction sensitivity -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Query performance prediction methods --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Pre-retrieval prediction methods -- Linguistic approaches -- Statistical approaches -- Definitions -- Specificity -- Similarity -- Coherency -- Term relatedness -- Evaluating pre-retrieval methods -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Basic concepts -- The retrieval task -- The prediction task -- Linear correlation -- Rank correlation -- Prediction robustness -- Summary --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction: the robustness problem of information retrieval -- Reasons for retrieval failures, the RIA workshop -- Instability in retrieval, the TREC's robust tracks -- Estimating the query difficulty -- Summary --
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
520 3# - 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.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF t.p. (viewed on May 4, 2010).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information retrieval.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Querying (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Search engines
General subdivision Programming.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yom-Tov, Elad.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on information concepts, retrieval, and services,
International Standard Serial Number 1947-9468 ;
Volume/sequential designation # 15.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6813364
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE345 2020-04-13 2020-04-13 E books

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