[책] 개인화 추천 관련 논문집 소개 - Recommender Systems Handbook [2011]

개인화 추천에 관련된 책(논문집) 한 권 소개합니다.

Recommender Systems Handbook [2011]
- Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor (Eds.)
- Springer (출판 : 28 Oct 2010)

개인화 추천에 관련된 기본 배경 기술과 최근의 연구 내용을 모은 책(논문집)입니다.
좀 두껍기는 하지만... 가격도 좀 비싸지만...^^
읽을만한 논문들을 다수 포함하고 있습니다.

수록된 논문은 아래와 같습니다.
그리고, 일부 인터넷에서 PDF 파일로 다운로드 받을 수 있는 논문들의 경우에는 링크를 달아 놓았습니다.


Part I - Basic Techniques
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1. Introduction to Recommender Systems Handbook
- Francesco Ricci, Lior Rokach, Bracha Shapira
- http://www.inf.unibz.it/~ricci/papers/intro-rec-sys-handbook.pdf

2. Data Mining Methods for Recommender Systems
- Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol
- www.lri.fr/~xlzhang/CS340_slides/chapter_dm_rcmd.pdf

3. Content-based Recommender Systems: State of the Art and Trends
- Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
  [참고] Content-based Recommendation에 관한 다른 저자의 논문
    Content-Based Recommendation Systems
    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.8327&rep=rep1&type=pdf

4. A Comprehensive Survey of Neighborhood-based Recommendation Methods
- Christian Desrosiers, George Karypis
- http://glaros.dtc.umn.edu/gkhome/fetch/papers/NbrRSsurvey2011.pdf

5. Advances in Collaborative Filtering
- Yehuda Koren, Robert M. Bell
- http://research.yahoo.net/files/korenBellChapterSpringer.pdf

6. Developing Constraint-based Recommenders
- Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker

7. Context-Aware Recommender Systems
- Gediminas Adomavicius, Alexander Tuzhilin
- http://www.inf.unibz.it/~ricci/ISR/papers/context-handbook.pdf

Part 2 - Applications and Evaluation of Recommender Systems
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8. Evaluating Recommendation Systems
- Guy Shani, Asela Gunawardana
- http://research.microsoft.com/pubs/115396/EvaluationMetrics.TR.pdf

9. A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
- Riccardo Bambini, Paolo Cremonesi, Roberto Turrin
- http://etradegatebv.com/files/A-Recommender-System-for-an-IPTV.pdf

10. How to Get the Recommender Out of the Lab?
- Jérôme Picault, Myriam Ribière, David Bonnefoy, Kevin Mercer

11. Matching Recommendation Technologies and Domains
- Robin D. Burke, Maryam Ramezani
    [참고] 관련 슬라이드(PPT)
    http://www.scitech.au.edu/forum/index.php?action=dlattach;topic=125.0;attach=289

12. Recommender Systems in Technology Enhanced Learning
- Nikos Manouselis, Hendrik Drachsler, Riina Vuorikari, Hans G. K. Hummel, Rob Koper
- http://dspace.ou.nl/bitstream/1820/.../RecSys_Handbook-preliminary_version.pdf

Part 3 - Interacting with Recommender Systems
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13. On the Evolution of Critiquing Recommenders
- Lorraine McGinty, James Reilly

14. Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
- Kyung Hyan Yoo, Ulrike Gretzel

15. Designing and Evaluating Explanations for Recommender Systems
- Nava Tintarev, Judith Masthoff

16. Usability Guidelines for Product Recommenders Based on Example Critiquing Research
- Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani

17. Map Based Visualization of Product Catalogs
- Martijn Kagie, Michiel C. van Wezel, Patrick J. F. Groenen
    [참고] 저자의 유사 논문
    A Graphical Shopping Interface Based on Product Attributes
    - http://www.browsingmap.com/doc/kagie_vanwezel_groenen_benelearn2007.pdf

Part 4 - Recommender Systems and Communities
-------------------------------------------------------------------------------------------18. Communities, Collaboration, and Recommender Systems in Personalized Web Search
- Barry Smyth, Maurice Coyle, Peter Briggs
- http://www.ise.bgu.ac.il/faculty/liorr/recsyshb/chCommunities.pdf

19. Social Tagging Recommender Systems
- Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis
- http://delab.csd.auth.gr/papers/RecBook11mnsjhss.pdf

20. Trust and Recommendations
- Patricia Victor, Martine De Cock, Chris Cornelis
- http://biblio.ugent.be/input/download?func=downloadFile&fileOId=1108118&recordOId=1108083

21. Group Recommender Systems: Combining Individual Models
- http://www.csd.abdn.ac.uk/~jmasthof/Publications/chGroup.pdf

Part 5 - Advanced Algorithms
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22. Aggregation of Preferences in Recommender Systems
- Gleb Beliakov, Tomasa Calvo, Simon James

23. Active Learning in Recommender Systems
- Neil Rubens, Dain Kaplan, Masashi Sugiyama
- http://activeintelligence.org/wp-content/papercite-data/pdf/Rubens-Active-Learning-RecSysHB2010.pdf

24. Multi-Criteria Recommender Systems
- Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon
- http://ids.csom.umn.edu/faculty/gedas/NSFCareer/MCRS-chapter-2010.pdf

25. Robust Collaborative Recommendation
- Robin Burke, Michael P. O'Mahony, Neil J. Hurley
    [참고] 공동 저자의 유사 논문
    Collaborative Recommendation: A Robustness Analysis
    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.2238&rep=rep1&type=pdf