Estimating the Query Difficulty for Information Retrieval

Estimating the Query Difficulty for Information Retrieval
Author :
Publisher : Springer Nature
Total Pages : 77
Release :
ISBN-10 : 9783031022722
ISBN-13 : 3031022726
Rating : 4/5 (22 Downloads)

Book Synopsis Estimating the Query Difficulty for Information Retrieval by : David Carmel

Download or read book Estimating the Query Difficulty for Information Retrieval written by David Carmel and published by Springer Nature. This book was released on 2022-05-31 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Estimating the Query Difficulty for Information Retrieval Related Books

Estimating the Query Difficulty for Information Retrieval
Language: en
Pages: 77
Authors: David Carmel
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well
Estimating the Query Difficulty for Information Retrieval
Language: en
Pages: 77
Authors: David Carmel
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well
Advances in Information Retrieval Theory
Language: en
Pages: 383
Authors: Giambattista Amati
Categories: Computers
Type: BOOK - Published: 2011-09-01 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Third International Conference on the Theory of Information Retrieval, ICTIR 2011, held in Bertinoro, Ital
Advances in Information Retrieval
Language: en
Pages: 505
Authors: Nazli Goharian
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Advances in Information Retrieval
Language: en
Pages: 709
Authors: Joemon M. Jose
Categories: Computers
Type: BOOK - Published: 2020-04-10 - Publisher: Springer Nature

DOWNLOAD EBOOK

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portuga