Metadata impact on research paper similarity

Authors:
Germán Hurtado Martín;Steven Schockaert;Chris Cornelis;Helga Naessens
Affiliations:
Dept. of Industrial Engineering, University College Ghent, Belgium and Dept. of Applied Mathematics and Computer Science, Ghent University, Belgium;Dept. of Applied Mathematics and Computer Science, Ghent University, Belgium;Dept. of Applied Mathematics and Computer Science, Ghent University, Belgium;Dept. of Industrial Engineering, University College Ghent, Belgium
Venue:
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Year:
2010

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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.