Recommender Systems Handbook 2011

Part 1 / Basic Techniques

• Francesco Ricci, Lior Rokach, Bracha Shapira:
  Introduction to Recommender Systems Handbook. 1-35
  
• Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol:
  Data Mining Methods for Recommender Systems. 39-71
  
• Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
  Content-based Recommender Systems: State of the Art and Trends. 73-105
  
• Christian Desrosiers, George Karypis:
  A Comprehensive Survey of Neighborhood-based Recommendation Methods. 107-144
  
• Yehuda Koren, Robert M. Bell:
  Advances in Collaborative Filtering. 145-186
  
• Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker:
  Developing Constraint-based Recommenders. 187-215
  
• Gediminas Adomavicius, Alexander Tuzhilin:
  Context-Aware Recommender Systems. 217-253
  

Part 2 / Applications and Evaluation of RSs

• Guy Shani, Asela Gunawardana:
  Evaluating Recommendation Systems. 257-297
  
• Riccardo Bambini, Paolo Cremonesi, Roberto Turrin:
  A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. 299-331
  
• Jérôme Picault, Myriam Ribière, David Bonnefoy, Kevin Mercer:
  How to Get the Recommender Out of the Lab? 333-365
  
• Robin D. Burke, Maryam Ramezani:
  Matching Recommendation Technologies and Domains. 367-386
  
• Nikos Manouselis, Hendrik Drachsler, Riina Vuorikari, Hans G. K. Hummel, Rob Koper:
  Recommender Systems in Technology Enhanced Learning. 387-415
  

Part 3 / Interacting with Recommender Systems

• Lorraine McGinty, James Reilly:
  On the Evolution of Critiquing Recommenders. 419-453
  
• Kyung Hyan Yoo, Ulrike Gretzel:
  Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations. 455-477
  
• Nava Tintarev, Judith Masthoff:
  Designing and Evaluating Explanations for Recommender Systems. 479-510
  
• Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani:
  Usability Guidelines for Product Recommenders Based on Example Critiquing Research. 511-545
  
• Martijn Kagie, Michiel C. van Wezel, Patrick J. F. Groenen:
  Map Based Visualization of Product Catalogs. 547-576
  

Part 4 / Recommender Systems and Communities

• Barry Smyth, Maurice Coyle, Peter Briggs:
  Communities, Collaboration, and Recommender Systems in Personalized Web Search. 579-614
  
• Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis:
  Social Tagging Recommender Systems. 615-644
  
• Patricia Victor, Martine De Cock, Chris Cornelis:
  Trust and Recommendations. 645-675
  
• Judith Masthoff:
  Group Recommender Systems: Combining Individual Models. 677-702
  

Part 5 / Advanced Algorithms

• Gleb Beliakov, Tomasa Calvo, Simon James:
  Aggregation of Preferences in Recommender Systems. 705-734
  
• Neil Rubens, Dain Kaplan, Masashi Sugiyama:
  Active Learning in Recommender Systems. 735-767
  
• Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon:
  Multi-Criteria Recommender Systems. 769-803
  
• Robin D. Burke, Michael P. O'Mahony, Neil J. Hurley:
  Robust Collaborative Recommendation. 805-835
  

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