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DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

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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.

Tango Jona
Tangokurs Rapperswil-Jona

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