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Metadata impact on research paper similarity

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Abstract
While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straightforward application of the vector space model. However, various types of metadata containing potentially useful information are usually available as well. Our work explores several methods to exploit this information in combination with different similarity measures.
Keywords
Research paper similarity, Metadata, Document similarity

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Citation

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Chicago
Hurtado Martín, Germán, Steven Schockaert, Chris Cornelis, and Helga Naessens. 2010. “Metadata Impact on Research Paper Similarity.” In Lecture Notes in Computer Science, ed. Mounia Lalmas, Joemon Jose, Andreas Rauber, Fabrizio Sebastiani, and Ingo Frommholz, 6273:457–460. Berlin, Germany: Springer.
APA
Hurtado Martín, G., Schockaert, S., Cornelis, C., & Naessens, H. (2010). Metadata impact on research paper similarity. In M. Lalmas, J. Jose, A. Rauber, F. Sebastiani, & I. Frommholz (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 6273, pp. 457–460). Presented at the 14th European conference on Digital Libraries (ECDL 2010), Berlin, Germany: Springer.
Vancouver
1.
Hurtado Martín G, Schockaert S, Cornelis C, Naessens H. Metadata impact on research paper similarity. In: Lalmas M, Jose J, Rauber A, Sebastiani F, Frommholz I, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2010. p. 457–60.
MLA
Hurtado Martín, Germán, Steven Schockaert, Chris Cornelis, et al. “Metadata Impact on Research Paper Similarity.” Lecture Notes in Computer Science. Ed. Mounia Lalmas et al. Vol. 6273. Berlin, Germany: Springer, 2010. 457–460. Print.
@inproceedings{1224883,
  abstract     = {While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straightforward application of the vector space model. However, various types of metadata containing potentially useful information are usually available as well. Our work explores several methods to exploit this information in combination with different similarity measures.},
  author       = {Hurtado Mart{\'i}n, Germ{\'a}n and Schockaert, Steven and Cornelis, Chris and Naessens, Helga},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  editor       = {Lalmas, Mounia and Jose, Joemon and Rauber, Andreas and Sebastiani, Fabrizio and Frommholz, Ingo},
  isbn         = {9783642154638},
  issn         = {0302-9743},
  keyword      = {Research paper similarity,Metadata,Document similarity},
  language     = {eng},
  location     = {Glasgow, Scotland, UK},
  pages        = {457--460},
  publisher    = {Springer},
  title        = {Metadata impact on research paper similarity},
  url          = {http://dx.doi.org/10.1007/978-3-642-15464-5\_56},
  volume       = {6273},
  year         = {2010},
}

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