000			05297nam a2200493 i 4500
001			000697052
003			OCoLC
005			20240105153045.0
008			170710t20172017caua rb 000 0 eng d
020			_a9781598297690
020			_a1598297694
020			_z9781598297683
035			_a419540
040			_aLVB _bfspa _erda _cLVB _dUIASF
050		4	_aZA 3075 _bS276.2017
100	1		_aSaracevic, Tefko _eautor
245	1	4	_aThe notion of relevance in information science : _beverybody knows what relevance is. But, what is it really? / _cTefko Saracevic.
264		1	_aSan Rafael, California : _bMorgan & Claypool Publishers, _c2017
264		4	_c©2017
300			_axx, 109 páginas : _bilustraciones, diagramas ; _c24 cm
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
490	0		_aSynthesis lectures on information concepts, retrieval, and services _v50
504			_aIncluye referencias bibliográficas (95-108).
505	8		_a1. Introduction -- 1.1 Information technology and relevance -- 1.2 Purpose, objectives, organization -- 1.3 Synthesis: basics about relevance
505	8		_a2. A bit of history -- 2.1 Information science -- 2.2 Information retrieval (IR) -- 2.3 Testing of IR systems and first concerns with relevance -- 2.4 Beginning of relevance experiments -- 2.5 Synthesis: historical developments related to relevance
505	8		_a3. Understanding, manifestations, and attributes -- 3.1 Intuitive understanding -- 3.2 Relevance definitions: by any other name -- 3.3 Manifestations of relevance -- 3.3.1 Basic duality -- 3.3.2 Different manifestations of relevance -- 3.3.3 Relevance and topicality -- 3.3.4 Relevance and usefulness -- 3.3.5 Subjective and objective relevance -- 3.4 How does relevance happen? -- 3.5 Synthesis: attributes of relevance
505	8		_a4. Models of relevance -- 4.1 Introduction -- 4.2 Systems view and model of relevance -- 4.2.1 Critiques -- 4.3 User's view and models of relevance -- 4.3.1 Stratified model of relevance -- 4.3.2 Integrated view and model -- 4.4 Split between system and user viewpoints -- 4.5 Synthesis: relevance models
505	8		_a5. Theories of relevance -- 5.1 Introduction -- 5.2 Philosophy: relevance in the life-world -- 5.2.1 Applications in information science -- 5.3 Communication: relevance and cognition -- 5.3.1 Applications in information science -- 5.4 Still in search of a theory -- 5.4.1 What should a relevance theory encompass? -- 5.5 Synthesis: theory and relevance
505	8		_a6. Experimental studies on behavior of relevance -- 6.1 Introduction -- 6.2 Relevance criteria and clues -- 6.3 Relevance dynamics -- 6.4 Relevance feedback -- 6.5 Synthesis: relevance behavior
505	8		_a7. Experimental studies on effects of relevance -- 7.1 Introduction -- 7.2 Relevance judges -- 7.3 Relevance judgments -- 7.3.1 Beyond topical -- 7.3.2 Beyond binary -- 7.3.3 Beyond independence -- 7.3.4 Beyond stability -- 7.3.5 Beyond consistency -- 7.4 Eye-tracking and brain imaging experiments -- 7.4.1 Synthesis: relevance effects
505	8		_a8. Effects of inconsistent relevance judgments on information retrieval test results -- 8.1 Introduction -- 8.2 Gold standard -- 8.2.1 Methods for obtaining gold standards for testing -- 8.3 But does it matter? -- 8.4 Synthesis: effect on IR evaluation
505	8		_a9. Conclusions -- 9.1 Introduction -- 9.2 Globalization of relevance -- 9.3 Relevance and social media -- 9.4 Proprietary relevance -- 9.5 Informing systems design -- 9.6 Synthesis: basic questions -- 9.7 Finally -- References -- Author biography.
520	8		_aEverybody knows what relevance is. It is a "y'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.
650		4	_aRecursos de información
650		4	_aLógica
830		0	_aSynthesis lectures on information concepts, retrieval, and services _v# 50.
905			_a01
942		1	_cNEWBFXC1
999			_c652721 _d652721
980			_851 _gRonald RUIZ