2011

Preference Learning

Editors:

ISBN: 978-3-642-14124-9 (Print) 978-3-642-14125-6 (Online)

Table of contents (20 chapters)

  1. Front Matter

    Pages i-ix

    1. Front Matter

      Pages 43-43

    2. No Access

      Book Chapter

      Pages 1-17

      Preference Learning: An Introduction

    3. No Access

      Book Chapter

      Pages 19-42

      A Preference Optimization Based Unifying Framework for Supervised Learning Problems

  2. Label Ranking

    1. Front Matter

      Pages 43-43

    2. No Access

      Book Chapter

      Pages 45-64

      Label Ranking Algorithms: A Survey

    3. No Access

      Book Chapter

      Pages 65-82

      Preference Learning and Ranking by Pairwise Comparison

    4. No Access

      Book Chapter

      Pages 83-106

      Decision Tree Modeling for Ranking Data

    5. No Access

      Book Chapter

      Pages 107-123

      Co-Regularized Least-Squares for Label Ranking

  3. Instance Ranking

    1. Front Matter

      Pages 125-125

    2. No Access

      Book Chapter

      Pages 127-154

      A Survey on ROC-based Ordinal Regression

    3. No Access

      Book Chapter

      Pages 155-177

      Ranking Cases with Classification Rules

  4. Object Ranking

    1. Front Matter

      Pages 179-179

    2. No Access

      Book Chapter

      Pages 181-201

      A Survey and Empirical Comparison of Object Ranking Methods

    3. No Access

      Book Chapter

      Pages 203-215

      Dimension Reduction for Object Ranking

    4. No Access

      Book Chapter

      Pages 217-247

      Learning of Rule Ensembles for Multiple Attribute Ranking Problems

  5. Preferences in Multi-Attribute Domains

    1. Front Matter

      Pages 249-249

    2. No Access

      Book Chapter

      Pages 251-272

      Learning Lexicographic Preference Models

    3. No Access

      Book Chapter

      Pages 273-296

      Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets

    4. No Access

      Book Chapter

      Pages 297-315

      Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models

    5. No Access

      Book Chapter

      Pages 317-333

      Learning Aggregation Operators for Preference Modeling

  6. Preferences in Information Retrieval

    1. Front Matter

      Pages 335-335

    2. No Access

      Book Chapter

      Pages 337-361

      Evaluating Search Engine Relevance with Click-Based Metrics

    3. No Access

      Book Chapter

      Pages 363-383

      Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain

  7. Preferences in Recommender Systems

    1. Front Matter

      Pages 385-385

    2. No Access

      Book Chapter

      Pages 387-407

      Learning Preference Models in Recommender Systems

    3. No Access

      Book Chapter

      Pages 409-427

      Collaborative Preference Learning

    4. No Access

      Book Chapter

      Pages 429-455

      Discerning Relevant Model Features in a Content-based Collaborative Recommender System

  8. Back Matter

    Pages 457-466