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020 _a9783031023026
_9978-3-031-02302-6
024 7 _a10.1007/978-3-031-02302-6
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aSaracevic, Tefko.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980979
245 1 4 _aThe Notion of Relevance in Information Science
_h[electronic resource] :
_bEverybody knows what relevance is. But, what is it really? /
_cby Tefko Saracevic.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXX, 109 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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 questionsare 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.
650 0 _aComputer networks .
_931572
650 1 4 _aComputer Communication Networks.
_980980
710 2 _aSpringerLink (Online service)
_980981
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031011740
776 0 8 _iPrinted edition:
_z9783031034305
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_980982
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02302-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c85080
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