Metadata Impact on Research Paper Similarity

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.

• Type: Conference
• Year: 2010
• Where: ERCIMDL
• Authors: Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
• Keywords: Content-based Approaches, Education, ERCIMDL 2010, Research Paper Recommender, Vector Space Model