@book{Qui93,
  author = {Quinlan, J. R.},
  interhash = {1a265267f55efc59cd96ecb93a69b520},
  intrahash = {da2798a9bd21fd49a31dde24cb605b1a},
  isbn = {1558602380},
  publisher = {Morgan Kaufmann, California},
  title = {{C4.5 Programs for Machine Learning}},
  year = 1993
}

@inproceedings{steinbach00comparison,
  author = {Steinbach, M. and Karypis, G. and Kumar, V.},
  booktitle = {KDD Workshop on Text Mining},
  interhash = {3340fbf75ada2ccb45a50dd5832f5f07},
  intrahash = {10e5c1e3ff54d9dce505a231f8ae7b32},
  title = {A comparison of document clustering techniques},
  url = {http://citeseer.ist.psu.edu/steinbach00comparison.html},
  year = 2000
}

@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
}

@inproceedings{neville2003srl,
  abstract = {Statistical relational learning (SRL) research has made significant progress over the last 5 years. We have successfully demonstrated the feasibility of a number of probabilistic models for relational data, including probabilistic relational models, Bayesian logic programs, and relational probability trees, and the interest in SRL isgrowing. However, in order to sustain and nurture the growth of SRL as a subfield we need to refocus our efforts on the science of machine learning — moving from demonstrations to comparative and ablation studies. We will outline four assertions that are implicit to SRL research but which have been only minimally evaluated. We hope to stimulate discussion as to how, as a community, these claims can be addressed in future research.},
  author = {Neville, J. and Rattigan, M. and Jensen, D.},
  booktitle = {Proceedings of the Workshop on Learning Statistical Models from Relational Data, Eighteenth International Joint Conference on Artificial Intelligence},
  date = {(2003)},
  interhash = {6d36575c17f75bc69e1ea941cda5d8fb},
  intrahash = {6f4fe9dc01547709202ad6556423e863},
  title = {Statistical relational learning: Four claims and a survey},
  url = {http://kdl.cs.umass.edu/papers/neville-et-al-srl2003.pdf},
  year = 2003
}

@incollection{citeulike:3149792,
  abstract = {The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies make it possible to model user information needs and adapt services to meet these needs. In previous work we have presented ASSIST, a general-purpose platform which incorporates various types of social support into existing information access systems and reported on our deployment experience in a highly goal driven environment (ACM Digital Library). In this work we present our experiences in applying ASSIST to a domain where goals are less focused and where casual exploration is more dominant; YouTube. We present a general study of YouTube access patterns and detail how the ASSIST architecture affected the access patterns of users in this domain.},
  author = {Coyle, Maurice and Freyne, Jill and Brusilovsky, Peter and Smyth, Barry},
  citeulike-article-id = {3149792},
  doi = {http://dx.doi.org/10.1007/978-3-540-70987-9\_12},
  interhash = {487512d7286ca43ca9b96ee4a0efc198},
  intrahash = {f75eb556b19abd7b399f2f27ae49cb1c},
  journal = {Adaptive Hypermedia and Adaptive Web-Based Systems},
  pages = {93--102},
  posted-at = {2008-10-13 00:16:23},
  priority = {2},
  title = {Social Information Access for the Rest of Us: An Exploration of Social YouTube},
  url = {http://www.springerlink.com/content/6h410u3w4836v866/},
  year = 2008
}

@article{opinion.review.2010,
  author = {Liu, Bing},
  editor = {Indurkhya, N. and Damerau, F. J.},
  interhash = {d95273d3139fee537a2e08a2fc5b4b38},
  intrahash = {098caba4af7a344db7a62c5d10748727},
  journal = {Handbook of Natural Language Processing},
  title = {Sentiment Analysis and Subjectivity},
  volume = {2nd ed},
  year = 2010
}

@book{reference/rsh/2011,
  booktitle = {Recommender Systems Handbook},
  editor = {Ricci, Francesco and Rokach, Lior and Shapira, Bracha and Kantor, Paul B.},
  ee = {http://www.springerlink.com/content/978-0-387-85819-7},
  interhash = {fc9c45535069f00807f784abdd939d9f},
  intrahash = {49d1b9115124c64075d6c2c559504b22},
  isbn = {978-0-387-85819-7},
  publisher = {Springer},
  title = {Recommender Systems Handbook},
  url = {http://dblp.uni-trier.de/db/reference/rsh/rsh2011.html},
  year = 2011
}