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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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

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spelling	doaj-7a574cd180c5452d84d9785fb54d588d2020-11-24T22:46:34ZengUniversitatea Dunarea de JosAnalele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică1221-454X2004-12-01200418085DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM Dan MunteanuSeverin Bumbaruhis 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.http://www.ann.ugal.ro/eeai/archives/2004/L12-Munteanu-Dan.pdfinformation systemsinformation analysisalgorithmsmachine learningagents
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Dan Munteanu Severin Bumbaru
spellingShingle	Dan Munteanu Severin Bumbaru DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică information systems information analysis algorithms machine learning agents
author_facet	Dan Munteanu Severin Bumbaru
author_sort	Dan Munteanu
title	DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
title_short	DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
title_full	DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
title_fullStr	DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
title_full_unstemmed	DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
title_sort	development of a generic recommender system
publisher	Universitatea Dunarea de Jos
series	Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
issn	1221-454X
publishDate	2004-12-01
description	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.
topic	information systems information analysis algorithms machine learning agents
url	http://www.ann.ugal.ro/eeai/archives/2004/L12-Munteanu-Dan.pdf
work_keys_str_mv	AT danmunteanu developmentofagenericrecommendersystem AT severinbumbaru developmentofagenericrecommendersystem
_version_	1725684836610342912

DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

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