Development of a generic recommender system

  • Dan Munteanu “Dunarea de Jos” University of Galati
  • Severin Bumbaru “Dunarea de Jos” University of Galati
Keywords: information systems, information analysis, algorithms, machine learning, agents

Abstract

This paper presents a recommender system for textual documents taken from web (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. It uses implicit and explicit feedback for evaluating documents.

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Published
2004-10-12
How to Cite
1.
Munteanu D, Bumbaru S. Development of a generic recommender system. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 12Oct.2004 [cited 23Feb.2025];27:80-5. Available from: https://gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/727
Issue
Vol 27 (2004)
Section
Articles

@ "Dunarea de Jos" University of Galati