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007			cr nn 008mamaa
008			230401s2017 sz | s |||| 0|eng d
020			_a9783031023026
024	7		_a10.1007/978-3-031-02302-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aZA3075 _b2017 EB
100	1		_aSaracevic, Tefko _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687966
245	1	4	_aThe Notion of Relevance in Information Science : _bEverybody knows what relevance is. But, what is it really? _cby Tefko Saracevic
250			_a1st edition 2017
264		1	_aCham _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XX, 109 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 -- Preface -- Introduction -- A Bit of History -- Understanding, Manifestations, and Attributes -- Models of Relevance -- Theories of Relevance -- Experimental Studies on Behavior of Relevance -- Experimental Studies on Effects of Relevance -- Effects of Inconsistent Relevance Judgments on Information Retrieval Test Results -- Conclusions -- References -- Author Biography.
520			_aEverybody knows what relevance is. It is a "ya'know" notion, concept, idea-no need to explain whatsoever. Searching for relevant information using information technology (IT) became a ubiquitous activity in contemporary information society. Relevant information means information that pertains to the matter or problem at hand-it is directly connected with effective communication. The purpose of this book is to trace the evolution and with it the history of thinking and research on relevance in information science and related fields from the human point of view. The objective is to synthesize what we have learned about relevance in several decades of investigation about the notion in information science. This book deals with how people deal with relevance-it does not cover how systems deal with relevance; it does not deal with algorithms. Spurred by advances in information retrieval (IR) and information systems of various kinds in handling of relevance, a number of basic questions are raised: But what is relevance to start with? What are some of its properties and manifestations? How do people treat relevance? What affects relevance assessments? What are the effects of inconsistent human relevance judgments on tests of relative performance of different IR algorithms or approaches? These general questions are discussed in detail.
988			_aSynthesis Collection of Technology_2017
650		7	_2embne _9147823 _aRecuperación de la información
776	0	8	_iPrinted edition: _z9783031011740
776	0	8	_iPrinted edition: _z9783031034305
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02302-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI