Barbieri, Nicola. <br/><br/>
Probabilistic approaches to recommendations/  [electronic resource] / 

 -  Morgan & Claypool Publishers,  2014. 
 - 199 p. 
<br/><br/> Chapter 1: The Recommendation Process.  Chapter, Lesson, Part  Chapter 2: Probabilistic Models for Collaborative Filtering.  Chapter, Lesson, Part  Chapter 3: Bayesian Modeling.  Chapter, Lesson, Part  Chapter 4: Exploiting Probabilistic Models.  Chapter, Lesson, Part  Chapter 5: Contextual Information.  Chapter, Lesson, Part  Chapter 6: Social Recommender Systems.  Chapter, Lesson, Part  Chapter 7: Conclusions.  Chapter, Lesson, Part Cover, 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. 
<br/><br/><label>ISBN: </label>9781627052573 9781627052580 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computers, Databases, Data Mining