@inproceedings{Kim2008,
  address = {Berlin, Deutschland},
  author = {Kim, Hak Lae and Scerri, Simon and Breslin, John G. and Decker, Stefan and Kim, Hong Gee},
  booktitle = {{Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications}},
  interhash = {9c5f5af6f47a1a563dbb405c5a58a3cc},
  intrahash = {7d3c3c2189394a8686ca9812d58bfe74},
  pages = {128--137},
  publisher = {{Dublin Core Metadata Initiative}},
  title = {{The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies}},
  year = 2008
}

@inproceedings{conf/www/SenVR09,
  author = {Sen, Shilad and Vig, Jesse and Riedl, John},
  booktitle = {WWW},
  crossref = {conf/www/2009},
  editor = {Quemada, Juan and León, Gonzalo and Maarek, Yoëlle S. and Nejdl, Wolfgang},
  ee = {http://doi.acm.org/10.1145/1526709.1526800},
  interhash = {4968b29a544394a5f9acd1bb8916e230},
  intrahash = {8d38bdb12f6f2f89bd3c34d200e48b72},
  isbn = {978-1-60558-487-4},
  pages = {671-680},
  publisher = {ACM},
  title = {Tagommenders: connecting users to items through tags.},
  url = {http://dblp.uni-trier.de/db/conf/www/www2009.html#SenVR09},
  year = 2009
}

@inproceedings{conf/sigir/GuanBMCW09,
  author = {Guan, Ziyu and Bu, Jiajun and Mei, Qiaozhu and Chen, Chun and Wang, Can},
  booktitle = {SIGIR},
  crossref = {conf/sigir/2009},
  editor = {Allan, James and Aslam, Javed A. and Sanderson, Mark and Zhai, ChengXiang and Zobel, Justin},
  ee = {http://doi.acm.org/10.1145/1571941.1572034},
  interhash = {53d2e8bc966048bc01efcc57b2fc8250},
  intrahash = {ac9427acf51cbf7cb5a35f66a16a32c0},
  isbn = {978-1-60558-483-6},
  pages = {540-547},
  publisher = {ACM},
  title = {Personalized tag recommendation using graph-based ranking on multi-type interrelated objects.},
  url = {http://www-personal.umich.edu/~qmei/pub/sigir09-tag.pdf},
  year = 2009
}

@article{JamesSinclair02012008,
  abstract = {The weighted list, known popularly as a `tag cloud', has appeared on many popular folksonomy-based web-sites. Flickr, Delicious, Technorati and many   others have all featured a tag cloud at some point in their history. However, it is unclear whether the tag cloud is actually useful as an aid to finding  information. We conducted an experiment, giving participants the option of using  a tag cloud or a traditional search interface to answer various questions. We found that where the information-seeking task required specific information, participants preferred the search interface. Conversely, where the   information-seeking task was more general, participants preferred the tag cloud. While the tag cloud is not without value, it is not sufficient as the sole means  of navigation for a folksonomy-based dataset.
},
  author = {Sinclair, James and Cardew-Hall, Michael},
  doi = {10.1177/0165551506078083},
  eprint = {http://jis.sagepub.com/cgi/reprint/34/1/15.pdf},
  interhash = {9781d30a620fe81d1b6b6b06925393ab},
  intrahash = {1cc0b296c0af7c80feea7b3bb1bf825c},
  journal = {Journal of Information Science},
  number = 1,
  pages = {15-29},
  title = {{The folksonomy tag cloud: when is it useful?}},
  url = {http://jis.sagepub.com/cgi/content/abstract/34/1/15},
  volume = 34,
  year = 2008
}

@misc{Bollen2009,
  abstract = {  Most tagging systems support the user in the tag selection process by
providing tag suggestions, or recommendations, based on a popularity
measurement of tags other users provided when tagging the same resource. In
this paper we investigate the influence of tag suggestions on the emergence of
power law distributions as a result of collaborative tag behavior. Although
previous research has already shown that power laws emerge in tagging systems,
the cause of why power law distributions emerge is not understood empirically.
The majority of theories and mathematical models of tagging found in the
literature assume that the emergence of power laws in tagging systems is mainly
driven by the imitation behavior of users when observing tag suggestions
provided by the user interface of the tagging system. This imitation behavior
leads to a feedback loop in which some tags are reinforced and get more popular
which is also known as the `rich get richer' or a preferential attachment
model. We present experimental results that show that the power law
distribution forms regardless of whether or not tag suggestions are presented
to the users. Furthermore, we show that the real effect of tag suggestions is
rather subtle; the resulting power law distribution is `compressed' if tag
suggestions are given to the user, resulting in a shorter long tail and a
`compressed' top of the power law distribution. The consequences of this
experiment show that tag suggestions by themselves do not account for the
formation of power law distributions in tagging systems.
},
  author = {Bollen, Dirk and Halpin, Harry},
  interhash = {280a97ee745f4e0409cf031a1b7ea247},
  intrahash = {07fe71c72f4fe79cb5a16f53048e0abe},
  note = {cite arxiv:0903.1788
},
  title = {The Role of Tag Suggestions in Folksonomies},
  url = {http://arxiv.org/abs/0903.1788},
  year = 2009
}

@inproceedings{heymann2008social,
  abstract = {In this paper, we look at the "social tag prediction" problem. Given a set of objects, and a set of tags applied to those objects by users, can we predict whether a given tag could/should be applied to a particular object? We investigated this question using one of the largest crawls of the social bookmarking system del.icio.us gathered to date. For URLs in del.icio.us, we predicted tags based on page text, anchor text, surrounding hosts, and other tags applied to the URL. We found an entropy-based metric which captures the generality of a particular tag and informs an analysis of how well that tag can be predicted. We also found that tag-based association rules can produce very high-precision predictions as well as giving deeper understanding into the relationships between tags. Our results have implications for both the study of tagging systems as potential information retrieval tools, and for the design of such systems.},
  address = {New York, NY, USA},
  author = {Heymann, Paul and Ramage, Daniel and Garcia-Molina, Hector},
  booktitle = {SIGIR '08: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
  doi = {http://doi.acm.org/10.1145/1390334.1390425},
  interhash = {bb9455c80cc9bd8cf95c951a1318dabc},
  intrahash = {0e6023e192f539fe4fce9894b1fbca5a},
  isbn = {978-1-60558-164-4},
  location = {Singapore, Singapore},
  pages = {531--538},
  publisher = {ACM},
  title = {Social tag prediction},
  url = {http://portal.acm.org/citation.cfm?id=1390334.1390425},
  year = 2008
}

@inproceedings{1390423,
  address = {New York, NY, USA},
  author = {Song, Yang and Zhuang, Ziming and Li, Huajing and Zhao, Qiankun and Li, Jia and Lee, Wang-Chien and Giles, C. Lee},
  booktitle = {SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval},
  doi = {http://doi.acm.org/10.1145/1390334.1390423},
  interhash = {e6505664e875de06d98a6e787d4367d1},
  intrahash = {525a37f6ef3d81a81686b515a148b88b},
  isbn = {978-1-60558-164-4},
  location = {Singapore, Singapore},
  pages = {515--522},
  publisher = {ACM},
  title = {Real-time automatic tag recommendation},
  url = {http://portal.acm.org/citation.cfm?id=1390334.1390423},
  year = 2008
}

@inproceedings{HaHe06,
  abstract = {Tagging-based systems enable users to categorize web resources by  means of tags (freely chosen keywords), in order to re-finding these  resources later. Tagging is implicitly also a social indexing process,  since users share their tags and resources, constructing a social  tag index, so-called folksonomy. At the same time of tagging-based  system, has been popularised an interface model for visual information  retrieval known as Tag-Cloud. In this model, the most frequently  used tags are displayed in alphabetical order. This paper presents  a novel approach to Tag-Cloud�s tags selection, and proposes the  use of clustering algorithms for visual layout, with the aim of improve  browsing experience. The results suggest that presented approach  reduces the semantic density of tag set, and improves the visual  consistency of Tag-Cloud layout.},
  author = {Hassan-Montero, Y. and Herrero-Solana, V.},
  booktitle = {InScit2006: International Conference on Multidisciplinary Information  Sciences and Technologies},
  file = {HaHe06.pdf:folksonomies\\HaHe06.pdf:PDF},
  interhash = {4458142370e3c6a4fe656af2f822a0dc},
  intrahash = {06f68f9fe46dc6d0f646d932e428dec9},
  misc = {comment = {proposes using k-clustering and some sort of semantic sorting  to refactor tag cloud layout to improve browsing. Not clear on how  they actually do it.}, priority = {0}, citeulike-article-id = {2045619}},
  owner = {michael},
  timestamp = {2008.01.14},
  title = {Improving Tag-Clouds as Visual Information Retrieval Interfaces},
  url = {http://nosolousabilidad.com/hassan/improving_tagclouds.pdf},
  year = 2006
}

@inproceedings{1454017,
  address = {New York, NY, USA},
  author = {Symeonidis, Panagiotis and Nanopoulos, Alexandros and Manolopoulos, Yannis},
  booktitle = {RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems},
  doi = {http://doi.acm.org/10.1145/1454008.1454017},
  interhash = {8ee38f4ffc05845fcb98f121fb265d48},
  intrahash = {e93afe409833a632af02290bbe134cba},
  isbn = {978-1-60558-093-7},
  location = {Lausanne, Switzerland},
  pages = {43--50},
  publisher = {ACM},
  title = {Tag recommendations based on tensor dimensionality reduction},
  url = {http://portal.acm.org/citation.cfm?id=1454017},
  year = 2008
}

@inproceedings{1458098,
  address = {New York, NY, USA},
  author = {Song, Yang and Zhang, Lu and Giles, C. Lee},
  booktitle = {CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining},
  doi = {http://doi.acm.org/10.1145/1458082.1458098},
  interhash = {5c03bc1e658b6d44f053944418bdaec3},
  intrahash = {d330a3537b4a14fbd40661424ec8e465},
  isbn = {978-1-59593-991-3},
  location = {Napa Valley, California, USA},
  pages = {93--102},
  publisher = {ACM},
  title = {A sparse gaussian processes classification framework for fast tag suggestions},
  url = {http://portal.acm.org/citation.cfm?id=1458098},
  year = 2008
}