Helga Naessens

Learn More
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(More)
— Information Systems, and in particular Current Research Information Systems (CRISs), are usually quite difficult to query when looking for specific information, due to the huge amounts of data they contain. To solve this problem, we propose to use a personal search agent that uses fuzzy and rough sets to inform the user about newly available information.(More)
The task of assessing the similarity of research papers is of interest in a variety of application contexts. It is a challenging task, however , as the full text of the papers is often not available, and similarity needs to be determined based on the papers' abstract, and some additional features such as authors, keywords, and journal. Our work explores the(More)
The task of assessing the similarity of research papers is of interest in a variety of application contexts. It is a challenging task, however, as the full text of the papers is often not available, and similarity needs to be determined based on the papers' abstract, and some additional features such as their authors, keywords, and the journals in which(More)
  • 1