TABLE OF CONTENTS CHAPTER 1 INTRODUCTION THESIS STATEMENT..,... External validation The Curse of Accuracy BUILDING BRIDGES RESEARCH APPROACH AND CONTRIBUTIONS…,… Recommending research Papers…… A User-Centric Approach to the Recommendation Process Understanding Recommender algorithms DISSERTATION ORGANIZATION 12 CHAPTER 2 RELATED AND PREVIOUS WORK RECOMMENDER SYSTEMS AND PERSONALIZATION... 14 Content-Based Recommenders Collaborative Filtering 8 Case-Based Reasoning and Conversational Recommenders A SUMMARY OF COMMON RECOMMENDER PROBLEMS en Evaluating Recon Problems with Collaborative Recommender algorithms. Problems with Content-based Recommender algorithms Problems with Knowledge-based Recommender Algorithms CITATION INDEXING AND RECOMMENDING RESEARCH PAPERS THEORIES OF INFORMATION SEEKING SEARCHSEARCH ENGINES, AND DIGITAL LIBRARIES CONCLUSION 32 CHAPTER 3 CONCERNING RECOMMENDING, RECOMMENDER ALGORITHMS, AND RECOMMENDER METRICS…… BACKGROUND AND DEFINITIONS he Ratings Matrix The recommendation Process USER-BASED COLLABORATIVE FILTERING EM-BASED COLLABORATIVE FILTERING EXTENSIONS TO COLLABORATIVE FILTERING ALGORITHMS Denser Collaborative Filtering Symmetric Collaborative Filtering NAIVE BAYES CLASSIFIER PROBABILISTIC LATENT SEMANTIC ANALYSIS TF/IDF CONTENT-BASED FILTERING PREDICTIVE ACCURACY AND DECISION SUPPORT METRICS CHAPTER 4 RECOMMENDATION LISTS AND INTRA- LIST SIMILARITY. INTRA-LIST SIMILARITY EXPERIMENTS Offline Experiments Reproduced with permission of the copyright owner. Further reproduction prohibited without permissionReproduced with permission of the copyright owner. Further reproduction prohibited without permission