Ghent University Academic Bibliography

Advanced

Metadata impact on research paper similarity

Germán Hurtado Martín, Steven Schockaert UGent, Chris Cornelis UGent and Helga Naessens UGent (2010) LECTURE NOTES IN COMPUTER SCIENCE. 6273. p.457-460
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Research paper similarity, Metadata, Document similarity
in
LECTURE NOTES IN COMPUTER SCIENCE
Lect. Notes Comput. Sci.
editor
Mounia Lalmas, Joemon Jose, Andreas Rauber, Fabrizio Sebastiani and Ingo Frommholz
volume
6273
issue title
Research and advanced technology for digital libraries
pages
457 - 460
publisher
Springer
place of publication
Berlin, Germany
conference name
14th European conference on Digital Libraries (ECDL 2010)
conference location
Glasgow, Scotland, UK
conference start
2010-09-06
conference end
2010-09-10
Web of Science type
Proceedings Paper
Web of Science id
000286402800056
ISSN
0302-9743
ISBN
9783642154638
DOI
10.1007/978-3-642-15464-5_56
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1224883
handle
http://hdl.handle.net/1854/LU-1224883
date created
2011-05-16 17:39:55
date last changed
2017-01-02 09:52:47
@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},
}

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.