عنوان

Estimating the query difficulty for information retrieval /

شابک

1608453588

شابک

9781608453580

شابک اشتباه

160845357X

شابک اشتباه

9781608453573

شماره

b738377

عنوان اصلي

Estimating the query difficulty for information retrieval /

نام عام مواد

[Book]

نام نخستين پديدآور

David Carmel and Elad Yom-Tov.

محل نشرو پخش و غیره

[San Rafael, Calif.] :

نام ناشر، پخش کننده و غيره

Morgan & Claypool Publishers,

تاریخ نشرو بخش و غیره

©2010.

نام خاص و کميت اثر

1 online resource (ix, 77 pages) :

ساير جزييات

illustrations

عنوان فروست

Synthesis lectures on information concepts, retrieval, and services,

مشخصه جلد

# 15

شاپا ي ISSN فروست

1947-9468 ;

متن يادداشت

Includes bibliographical references (pages 69-76).

متن يادداشت

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.

متن يادداشت

2. Basic concepts -- The retrieval task -- The prediction task -- Linear correlation -- Rank correlation -- Prediction robustness -- Summary.

متن يادداشت

3. Query performance prediction methods.

متن يادداشت

4. Pre-retrieval prediction methods -- Linguistic approaches -- Statistical approaches -- Definitions -- Specificity -- Similarity -- Coherency -- Term relatedness -- Evaluating pre-retrieval methods -- Summary.

متن يادداشت

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.

متن يادداشت

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.

متن يادداشت

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.

متن يادداشت

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.

متن يادداشت

9. Summary and conclusions -- Summary -- What next -- Concluding remarks -- Bibliography -- Authors' biographies.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

CL0500000343

شماره استاندارد بين المللي کتاب و موسيقي

9781608453573

شماره استاندارد بين المللي کتاب و موسيقي

9781608453580

موضوع مستند نشده

Information retrieval.

موضوع مستند نشده

Querying (Computer science)

موضوع مستند نشده

Search engines-- Programming.

موضوع مستند نشده

COMPUTERS-- Online Services-- Resource Directories.

موضوع مستند نشده

COMPUTERS-- System Administration-- Storage & Retrieval.

موضوع مستند نشده

Information retrieval.

موضوع مستند نشده

Querying (Computer science)

موضوع مستند نشده

Search engines-- Programming.

موضوع مستند نشده

COM-- 030000

موضوع مستند نشده

COM-- 069010

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Carmel, David.

مستند نام اشخاص تاييد نشده

Yom-Tov, Elad.

تاريخ عمليات

20201203233120.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y