@article{keyhere,
  abstract = {Personalized recommendation is used to conquer the information overload problem, and collaborative filtering recommendation (CF) is one of the most successful recommendation techniques to date. However, CF becomes less effective when users have multiple interests, because users have similar taste in one aspect may behave quite different in other aspects. Information got from social bookmarking websites not only tells what a user likes, but also why he or she likes it. This paper proposes a division algorithm and a CubeSVD algorithm to analysis this information, distill the interrelations between different users’ various interests, and make better personalized recommendation based on them. Experiment reveals the superiority of our method over traditional CF methods. ER  -},
  author = {Xu, Yanfei and Zhang, Liang and Liu, Wei},
  interhash = {edf999afa5a0ff81e53b0c859b466659},
  intrahash = {5fbd24f07fe8784b516e69b0eb3192f3},
  journal = {Frontiers of WWW Research and Development - APWeb 2006},
  pages = {733--738},
  title = {Cubic Analysis of Social Bookmarking for Personalized Recommendation},
  url = {http://dx.doi.org/10.1007/11610113_66},
  year = 2006
}

@inproceedings{xfms06towards,
  author = {Xu, Zhichen and Fu, Yun and Mao, Jianchang and Su, Difu},
  booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006},
  interhash = {e18fd92b0ffa21b9f0cbb3a2fe15b873},
  intrahash = {49719d13c6da0c5f6917b97ef777184e},
  title = {Towards the Semantic Web: Collaborative Tag Suggestions},
  year = 2006
}

@misc{golder05structure,
  author = {Golder, Scott and Huberman, Bernardo A.},
  citeulike-article-id = {305755},
  eprint = {cs.DL/0508082},
  interhash = {2d312240f16eba52c5d73332bc868b95},
  intrahash = {f852d7a909fa3edceb04abb7d2a20f71},
  month = Aug,
  priority = {2},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://arxiv.org/abs/cs.DL/0508082},
  year = 2005
}

@inproceedings{1128138,
  address = {Washington, DC, USA},
  author = {Niwa, Satoshi and Doi, Takuo and Honiden, Shinichi},
  booktitle = {ITNG '06: Proceedings of the Third International Conference on Information Technology: New Generations (ITNG'06)},
  doi = {http://dx.doi.org/10.1109/ITNG.2006.140},
  interhash = {9554b0b80885f6c6f8d4f63a88d7b215},
  intrahash = {5b250ba1a970964b09b8f7d0e395b949},
  isbn = {0-7695-2497-4},
  pages = {388--393},
  publisher = {IEEE Computer Society},
  title = {Web Page Recommender System based on Folksonomy Mining},
  url = {http://portal.acm.org/citation.cfm?id=1128138},
  year = 2006
}

@article{begelman2006atc,
  author = {Begelman, G. and Keller, P. and Smadja, F.},
  interhash = {ffacd9d40f6cba1aa8140f501c2a1802},
  intrahash = {dd848b212f249f3aa591ee4c8835c2c2},
  journal = {WWW2006, May},
  pages = {22--26},
  title = {{Automated Tag Clustering: Improving search and exploration in the tag space}},
  url = {http://www.pui.ch/phred/automated_tag_clustering/},
  year = 2006
}

@misc{santosneto-2007,
  author = {Santos-Neto, Elizeu and Ripeanu, Matei and Iamnitchi, Adriana},
  interhash = {a684fa9c2187ce048c69f6edb94f6c26},
  intrahash = {785df87d0942d1cb6da9b944df902730},
  title = {Tracking User Attention in Collaborative Tagging Communities},
  url = {http://arxiv.org/pdf/0705.1013},
  year = 2007
}

@techreport{citeulike:739394,
  abstract = {Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.},
  author = {Heymann, Paul and Garcia-Molina, Hector},
  citeulike-article-id = {739394},
  institution = {Computer Science Department},
  interhash = {d77846b40aadb0e25233cabf905bb93e},
  intrahash = {3b4ce6fd7fa6dbf1c39fd261fa39fcd6},
  month = {April},
  number = {2006-10},
  priority = {3},
  school = {Standford University},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  url = {http://dbpubs.stanford.edu:8090/pub/2006-10},
  year = 2006
}

@inproceedings{Mika2005,
  author = {Mika, Peter},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {International Semantic Web Conference},
  doi = {10.1007/11574620_38},
  ee = {http://dx.doi.org/10.1007/11574620_38},
  interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb},
  intrahash = {6929599cc8fbdc408282907eeec37204},
  owner = {mlux},
  pages = {522-536},
  publisher = {Springer},
  series = {LNCS},
  timestamp = {2006.01.19},
  title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics},
  url = {http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf},
  year = 2005
}

@misc{Ma04,
  author = {Mathes, Adam},
  interhash = {2fb667a05d8863dbb39625ed1e9d5b99},
  intrahash = {45ae9616f7c7e480384d43cb2f6aec4d},
  misc = {isbn = {3-540-60161-9}, bibsource = {DBLP, http://dblp.uni-trier.de}},
  month = {December},
  school = {Graduate School of Library and Information Science, University of Illinois Urbana-Champaign },
  title = {{F}olksonomies -- {C}ooperative {C}lassification and {C}ommunication {T}hrough {S}hared {M}etadata},
  url = {http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html},
  year = 2004
}

@misc{citeulike:361498,
  author = {Shen, Kaikai and Wu, Lide},
  citeulike-article-id = {361498},
  eprint = {cs.IR/0509072},
  interhash = {5150a1bb822f3ce4c888e2497eedbd07},
  intrahash = {0a5d7dfd17c6952fe7a07f7756098601},
  month = Sep,
  priority = {2},
  title = {Folksonomy as a Complex Network},
  url = {http://arxiv.org/abs/cs.IR/0509072},
  year = 2005
}

@inproceedings{conf/vldb/GyongyiGP04,
  author = {Gyöngyi, Zoltán and Garcia-Molina, Hector and Pedersen, Jan},
  booktitle = {VLDB},
  ee = {http://www.vldb.org/conf/2004/RS15P3.PDF},
  interhash = {df645e278ec1d72e4576f95ec7bb94c0},
  intrahash = {0d15cc263e9ca534e79c2d6f470f725e},
  pages = {576-587},
  title = {Combating Web Spam with TrustRank.},
  url = {http://dblp.uni-trier.de/db/conf/vldb/vldb2004.html#GyongyiGP04},
  year = 2004
}

@article{citeulike:171426,
  author = {Adomavicius, G. and Tuzhilin, A.},
  citeulike-article-id = {171426},
  interhash = {42f7653127a823354d000ea95cf804be},
  intrahash = {55294392edb717922798725dd8be80b3},
  journal = {Knowledge and Data Engineering, IEEE Transactions on},
  keywords = {collaborative collaborative-filtering filtering mining personalization recommender recommender-systems systems},
  number = 6,
  pages = {734--749},
  priority = {2},
  title = {Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1423975},
  volume = 17,
  year = 2005
}

@misc{citeulike:155,
  abstract = {Inspired by empirical studies of networked systems such as the Internet,
social networks, and biological networks, researchers have in recent years
developed a variety of techniques and models to help us understand or predict
the behavior of these systems. Here we review developments in this field,
including such concepts as the small-world effect, degree distributions,
clustering, network correlations, random graph models, models of network growth
and preferential attachment, and dynamical processes taking place on networks.},
  author = {Newman, M. E. J.},
  citeulike-article-id = {155},
  eprint = {cond-mat/0303516},
  interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
  intrahash = {d53568209eef08fb0a8734cf34c59a71},
  keywords = {affinity algorithm arch clustering complex-systems folksonomy growth information_retrieval math network network_theory readinggroup scale-free-networks small_world socialnetwork systems thesis web web-graph},
  month = {March},
  priority = {5},
  title = {The structure and function of complex networks},
  url = {http://arxiv.org/abs/cond-mat/0303516},
  year = 2003
}