Chapter, Lesson, Part 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.

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.