DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

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...

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Bibliographic Details
Main Authors: Dan Munteanu, Severin Bumbaru
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2004-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
information systems
information analysis
algorithms
machine learning
agents
Online Access:http://www.ann.ugal.ro/eeai/archives/2004/L12-Munteanu-Dan.pdf
Description
Summary: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.
ISSN:1221-454X

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