Classification process in a text document 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 the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.

Published
2005-10-28
How to Cite
1.
Munteanu D, Bumbaru S. Classification process in a text document recommender system. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 28Oct.2005 [cited 17May2024];28:60-5. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/712
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.