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Metadata impact on research paper similarity

Martin, Germán Hurtado, Schockaert, Steven, Cornelis, Chris and Naessens, Helga 2010. Metadata impact on research paper similarity. Presented at: 14th ECDL Conference, Glasgow, Scotland, 6-10 September 2010. Published in: Lalmas, M., Jose, J., Rauber, R., Sebastiani, R. and Frommholz, I. eds. Research and Advanced Technology for Digital Libraries : 14th European Conference, ECDL 2010, Glasgow, UK, September 6-10, 2010, proceedings. Lecture Notes in Computer Science , vol. 6273. Berlin-Heidelberg: Springer-Verlag, pp. 457-460. 10.1007/978-3-642-15464-5_56

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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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Publisher: Springer-Verlag
ISBN: 9783642154638
Last Modified: 04 Jun 2017 04:03
URI: http://orca.cf.ac.uk/id/eprint/31836

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