000			01763nam a2200349 a 4500
001			vtls000079391
003			MTX
008			160715 001 0 eng d
020			_a9781627052573
020			_a9781627052580
039		9	_a201607151144 _bstaff _y201605041227 _zadmin
041	0		_aeng
099			_aEbook
100	1		_aBarbieri, Nicola. _9115907
245			_aProbabilistic approaches to recommendations/ _h[electronic resource] / _c.
260			_bMorgan & Claypool Publishers, _c2014.
300			_a199 p.
505	0		_gChapter, Lesson, Part _tChapter 1: The Recommendation Process.
505	0		_gChapter, Lesson, Part _tChapter 2: Probabilistic Models for Collaborative Filtering.
505	0		_gChapter, Lesson, Part _tChapter 3: Bayesian Modeling.
505	0		_gChapter, Lesson, Part _tChapter 4: Exploiting Probabilistic Models.
505	0		_gChapter, Lesson, Part _tChapter 5: Contextual Information.
505	0		_gChapter, Lesson, Part _tChapter 6: Social Recommender Systems.
505	0		_gChapter, Lesson, Part _tChapter 7: Conclusions.
505	0		_aCover, Title,Probabilistic approaches to recommendations--Preface, Introduction, TOC,Synthesis Lectures on Data Mining and Knowledge Discovery--Preface, Introduction, TOC,Abstract; Keywords--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Preface--References, Appendix, Index,Appendix A: Parameter Estimation and Inference--References, Appendix, Index,Bibliography--References, Appendix, Index,Authors' Biographies.
650		0	_aComputers, Databases, Data Mining _9115908
700	1		_aManco, Giuseppe _9115909
700	1		_aRitacco, Ettore. _9115910
856	4	0	_uhttp://portal.igpublish.com/iglibrary/search/MCPB0000670.html
942			_c10
999			_c75940 _d75940