@inproceedings{jardine2014topical,
  address = {Gothenburg, Sweden},
  author = {Jardine, James and Teufel, Simone},
  booktitle = {Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics},
  interhash = {147a857a9dc2cc83a91b4f67908995a8},
  intrahash = {f4620195b04beda98c3f7336c4b96dd5},
  month = {April},
  pages = {501--510},
  publisher = {Association for Computational Linguistics},
  title = {Topical PageRank: A Model of Scientific Expertise for Bibliographic Search},
  url = {http://www.aclweb.org/anthology/E14-1053},
  year = 2014
}

@article{adomavicius2012impact,
  abstract = {This article investigates the impact of rating data characteristics on the performance of several popular recommendation algorithms, including user-based and item-based collaborative filtering, as well as matrix factorization. We focus on three groups of data characteristics: rating space, rating frequency distribution, and rating value distribution. A sampling procedure was employed to obtain different rating data subsamples with varying characteristics; recommendation algorithms were used to estimate the predictive accuracy for each sample; and linear regression-based models were used to uncover the relationships between data characteristics and recommendation accuracy. Experimental results on multiple rating datasets show the consistent and significant effects of several data characteristics on recommendation accuracy.},
  acmid = {2151166},
  address = {New York, NY, USA},
  articleno = {3},
  author = {Adomavicius, Gediminas and Zhang, Jingjing},
  doi = {10.1145/2151163.2151166},
  interhash = {53e424cc9502ebb33d38de1d04230196},
  intrahash = {e41453a56391ca382f2298607b361208},
  issn = {2158-656X},
  issue_date = {April 2012},
  journal = {ACM Trans. Manage. Inf. Syst.},
  month = apr,
  number = 1,
  numpages = {17},
  pages = {3:1--3:17},
  publisher = {ACM},
  title = {Impact of Data Characteristics on Recommender Systems Performance},
  url = {http://doi.acm.org/10.1145/2151163.2151166},
  volume = 3,
  year = 2012
}

@inproceedings{mika2005ontologies,
  abstract = {In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies...},
  author = {Mika, Peter},
  booktitle = {International Semantic Web Conference},
  citeulike-article-id = {1020245},
  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2861},
  interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb},
  intrahash = {399364f1c39abf3efcc19cb0de12f40c},
  month = {November},
  organization = {International Semantic Web Conference 2005},
  pages = {522--536},
  posted-at = {2008-04-27 15:43:44},
  priority = {5},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Ontologies Are Us: A unified model of social networks and semantics},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2861},
  volume = 3729,
  year = 2005
}