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007			cr nn 008mamaa
008			230401s2015 sz | s |||| 0|eng d
020			_a9783031022944
024	7		_a10.1007/978-3-031-02294-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aZA4201 _b2015 EB
100	1		_aChuklin, Aleksandr _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687954
245	1	0	_aClick Models for Web Search _cby Aleksandr Chuklin, Ilya Markov, Maarten Rijke
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XV, 99 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Information Concepts Retrieval and Services _x1947-9468
505	0		_aAcknowledgments -- 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			_aWith 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.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9156738 _aBúsqueda en Internet
700			_aMarkov, Ilya. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _999816
700	1		_aRijke, Maarten de _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687955
776	0	8	_iPrinted edition: _z9783031011665
776	0	8	_iPrinted edition: _z9783031034220
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02294-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI