Contents Dedication Abstract List of tables List of Figures vlll I Prologue 1.1 The Problem Domain: Recommender Systems Collaborative Filtering 1.2 Recommender Systems and Influence 1. 3 Contributions 1. 4 Thesis Roadmap 2 Experimental Platform 2.1 Introduction 16 2.2 Collaborative Filtering Algorithms Considered 2.3 Experimental Platform Datasets 2. 4 Evaluation metrics II Influence of Users 3 The Idea of Users?Influence in Recommender Systems 3.1 Introduction 3.2 Principles of Influence Measures 3.3 Influence Based on Earlier Work Reproduced with permission of the copyright owner. Further reproduction prohibited without permissionReproduced with permission of the copyright owner. Further reproduction prohibited without permission