Author(s): Dan Munteanu | Severin Bumbaru
Journal: Annals of Dunarea de Jos
ISSN 1221-454X
Volume: 2004;
Issue: 1;
Start page: 80;
Date: 2004;
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Keywords: information systems | information analysis | algorithms | machine learning | agents
ABSTRACT
his 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.
Journal: Annals of Dunarea de Jos
ISSN 1221-454X
Volume: 2004;
Issue: 1;
Start page: 80;
Date: 2004;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: information systems | information analysis | algorithms | machine learning | agents
ABSTRACT
his 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.
