Click Models for Web Search (Record no. 85077)

000 -LEADER
fixed length control field 03502nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-031-02294-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163856.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2015 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031022944
-- 978-3-031-02294-4
082 04 - CLASSIFICATION NUMBER
Call Number 004.6
100 1# - AUTHOR NAME
Author Chuklin, Aleksandr.
245 10 - TITLE STATEMENT
Title Click Models for Web Search
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 99 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Information Concepts, Retrieval, and Services,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Acknowledgments -- Introduction -- Terminology -- Basic Click Models -- Parameter Estimation -- Evaluation -- Data and Tools -- Experimental Comparison -- Advanced Click Models -- Applications -- Discussion and Directions for Future Work -- Authors' Biographies -- Index .
520 ## - SUMMARY, ETC.
Summary, etc With the rapid growth of web search in recent years the problem of modeling its users has started to attract more and more attention of the information retrieval community. This has several motivations. By building a model of user behavior we are essentially developing a better understanding of a user, which ultimately helps us to deliver a better search experience. A model of user behavior can also be used as a predictive device for non-observed items such as document relevance, which makes it useful for improving search result ranking. Finally, in many situations experimenting with real users is just infeasible and hence user simulations based on accurate models play an essential role in understanding the implications of algorithmic changes to search engine results or presentation changes to the search engine result page. In this survey we summarize advances in modeling user click behavior on a web search engine result page. We present simple click models as well as more complex models aimed at capturing non-trivial user behavior patterns on modern search engine result pages. We discuss how these models compare to each other, what challenges they have, and what ways there are to address these challenges. We also study the problem of evaluating click models and discuss the main applications of click models.
700 1# - AUTHOR 2
Author 2 Markov, Ilya.
700 1# - AUTHOR 2
Author 2 de Rijke, Maarten.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02294-4
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Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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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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