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007			cr cnu|||unuuu
008			160725t20162017sz a ob 000 0 eng d
020			_a3319411632 _q(electronic bk.)
020			_a9783319411637 _q(electronic bk.)
020			_z9783319411613 _q(print)
035			_a(OCoLC)953969157 _z(OCoLC)962354248
040			_aN$T _cN$T _dYDXCP _dGW5XE _dIDEBK _dEBLCP _dOCLCF _dN$T _dUAB _dIOG _dMERER _dESU _dOCLCQ _dJBG _dIAD _dICW _dICN _dOTZ _dYDX _dZ5A _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aLB1044.87 _b2017 EB
245	0	0	_aE-learning systems : _bintelligent techniques for personalization _cAleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
264		1	_aSwitzerland _bSpringer _c[2016]
264		4	_c2017
300			_a1 recurso en línea (xxiii, 294 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aIntelligent systems reference library _x1868-4394 _vvolume 112
500			_aSpringerLink
504			_aIncluye referencias bibliográficas
505	0		_aForeword; Preface; Contents; About the Authors; Abbreviations; Abstract; Preliminaries; 1 Introduction to E-Learning Systems; Abstract; 1.1 Web-Based Learning; 1.2 E-Learning; 1.3 E-Learning Objects, Standards and Specifications; 1.3.1 E-Learning Objects; 1.3.2 E-Learning Specifications and Standards; 1.3.2.1 S1. IEEE LOM and IMS Learning Resource Metadata; 1.3.2.2 S2. Dublin Core Metadata Initiative; 1.3.2.3 S3. IMS Learner Information Package; 1.3.2.4 S4. IMS Content Packaging; 1.3.2.5 S5. IMS Simple Sequencing; 1.3.2.6 S6. ADL SCORM; 1.3.3 Analysis of Standards and Specifications.
505	8		_a3.3.4 Information Understanding: Sequential and Global LearnersReferences; 4 Adaptation in E-Learning Environments; Abstract; 4.1 Adaptive Educational Hypermedia; 4.2 Content Adaptation; 4.3 Link Adaptation; References; 5 Agents in E-Learning Environments; Abstract; 5.1 Some Existing Agent Based Systems; 5.2 HAPA System Overview; 5.2.1 Harvesting and Classifying the Learning Material; 5.2.1.1 Pedagogical agents; References; 6 Recommender Systems in E-Learning Environments; Abstract; 6.1 Recommendations and Recommender Systems.
505	8		_a6.2 The Most Important Requirements and Challenges for Designing a Recommender System in E-Learning Environments6.3 Recommendation Techniques for RS in E-Learning Environments-A Survey of the State-of-the-Art; 6.3.1 Collaborative Filtering Approach; 6.3.2 Content-Based Techniques; 6.3.3 Association Rule Mining; References; 7 Folksonomy and Tag-Based Recommender Systems in E-Learning Environments; Abstract; 7.1 Comprehensive Survey of the State-of-the-Art in Collaborative Tagging Systems and Folksonomy; 7.1.1 Tagging Rights; 7.1.2 Tagging Support; 7.1.3 Aggregation; 7.1.4 Types of Object.
505	8		_a7.1.5 Sources of Material7.1.6 Resource Connectivity; 7.1.7 Social Connectivity; 7.2 A Model for Tagging Activities; 7.3 Tag-Based Recommender Systems; 7.3.1 Extension with Tags; 7.3.2 Collecting Tags; 7.4 Applying Tag-Based Recommender Systems to E-Learning Environments; 7.4.1 FolkRank Algorithm; 7.4.2 PLSA; 7.4.3 Collaborative Filtering Based on Collaborative Tagging; 7.4.4 Tensor Factorization Technique for Tag Recommendation; 7.4.4.1 SVD Algorithm; 7.4.4.2 Tensors and HOSVD Algorithm; 7.4.4.3 Ranking with Tensor Factorization; 7.4.4.4 Multi-mode Recommendations; 7.4.5 Most Popular Tags.
588	0		_aOnline resource; title from PDF title page (SpringerLink, viewed July 29, 2016).
988			_aEBOOK, EBSPRINGER_2017A
650		7	_aEnseñanza en línea _2embne _9523265
700	1		_aBudimac, Zoran, _eautor
700	1		_aIvanovic, Mirjana _eautor _999956
700	1		_aJain, L. C. _eautor _952797
700	1		_aKlašnja-Milićević, Aleksandra, _eautor
700	1		_aVesin, Boban, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-41163-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI