Abstract
Social Tagging Systems (STS for short) are web applications where users can upload, tag, and share resources (e. g., websites, videos,photos, etc.) with other users. STS promote decentralization of content control and lead the web to be a more open and democratic environment. As we will see in the course of this book, STS put forward new challenges and opportunities for recommender systems, but before we delve into how to design and deploy efficient recommender systems for STS, in this chapter we formally define social tagging systems and their data structures, elaborate on the different recommendation tasks demanded by STS users, introduce real-world STS that already feature recommendation services, and fix the notation we will use throughout the book. The chapter is based on work published in [9].
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References
Paul Bausch and Jim Bumgardner. Flickr Hacks. O’Reilly Press, 2006.
Toine Bogers. Science papers that interest you. http://blog.citeulike.org/?p=11. accessed on 07/14/2011.
Toine Bogers. Recommender Systems for Social Bookmarking. PhD thesis, Tilburg University, Tilburg, The Netherlands, December 2009.
Y. Hassan-Montero and V. Herrero-Solana. Improving tag-clouds as visual information retrieval interfaces. In InScit ’06: Proceedings of the International Conference on Multidisciplinary Information Sciences and Technologies, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz, and Gerd Stumme. Information retrieval in folksonomies: Search and ranking. In York Sure and John Domingue, editors, The Semantic Web: Research and Applications, volume 4011 of Lecture Notes in Computer Science, pages 411–426, Berlin/Heidelberg, June 2006. Springer.
LaJean Humphries. Extras - itlist and other bookmark managers. Weblog Entry at http://www.llrx.com/extras/itlist.htm, 2000. accessed on 07/14/2011.
Jens Illig. Entwurf und Integration eines Item-Based Collaborative Filtering Tag Recommender Systems in das BibSonomy-Projekt. Project report, Fachgebiet Wissensverarbeitung, Universität Kassel, 2006.
Marek Lipczak, Yeming Hu, Yael Kollet, and Evangelos Milios. Tag sources for recommendation in collaborative tagging systems. In Folke Eisterlehner, Andreas Hotho, and Robert Jäschke, editors, ECML PKDD
Discovery Challenge 2009 (DC09), volume 497 of CEUR-WS.org, pages 157–172, 2009.
Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, and Panagiotis Symeonidis. Social Tagging Recommender Systems, pages 615–644. Springer US, 2011.
Steffen Rendle, Leandro B. Marinho, Alexandros Nanopoulos, and Lars Schimdt-Thieme. Learning optimal ranking with tensor factorization for tag recommendation. In KDD ’09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 727–736. ACM, 2009.
Panagiotis Symeonidis, Alexandros Nanopoulos, and Yannis Manolopoulos. Tag recommendations based on tensor dimensionality reduction. In RecSys ’08: Proceedings of the 2008 ACM conference on Recommender systems, pages 43–50. ACM, 2008.
Wikipedia. Social bookmarking. http://en.wikipedia.org/wiki/Social bookmarking. accessed on 07/14/2011.
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Marinho, L.B. et al. (2012). Social Tagging Systems. In: Recommender Systems for Social Tagging Systems. SpringerBriefs in Electrical and Computer Engineering(). Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1894-8_1
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DOI: https://doi.org/10.1007/978-1-4614-1894-8_1
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