InforLorV4, PascalFrancis, Corpus, bibRecord, 000087

Détection de communautés d'intérêt et recommandation sociale par leaders

Identifieur interne : 000087 ( PascalFrancis/Corpus ); précédent : 000086; suivant : 000088

Détection de communautés d'intérêt et recommandation sociale par leaders

Auteurs : Armelle Brun ; Anne Boyer

Source :

Ingénierie des systèmes d'information : (2001) [ 1633-1311 ] ; 2012.

RBID : Pascal:13-0100266

Descripteurs français

Pascal (Inist)
- Service web, Recommandation, Satisfaction, Préférence, Réseau social, Précision élevée, Intérêt, Modélisation, Organisation sociale, ..

English descriptors

KwdEn :
- High precision, Interest, Modeling, Preference, Recommendation, Satisfaction, Social network, Social organization, Web service.

Abstract

Recommender Systems aim at increasing the users' satisfaction in an online service, by suggesting items that correspond to their preferences. In this article we aim at increasing the quality of the recommendations, as well as reducing the size of the recommendation model. To increase the quality of recommendations, we propose a new way to form communities of interest, by exploiting the ratio between the similarity within communities and the similarity outside of the communities. To reduce the size of the recommendation model, we propose to select a subset of users, the leaders. We show that the new algorithm used to build communities leads to an improvement of the recommendations and that the leader-based recommender decreases the size of the model by 80%, while maintaining a high coverage and accuracy.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A03		`1`		`@0 Ing. syst. inf. : (2001)`
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A08	`01`	`1`	`FRE`	`@1 Détection de communautés d'intérêt et recommandation sociale par leaders`
A09	`01`	`1`	`FRE`	`@1 INTERACTIONS ENTRE RÉSEAUX SOCIAUX ET SI`
A11	`01`	`1`		`@1 BRUN (Armelle)`
A11	`02`	`1`		`@1 BOYER (Anne)`
A12	`01`	`1`		`@1 CABANAC (Guillaume) @9 ed.`
A12	`02`	`1`		`@1 CHEVALIER (Max) @9 ed.`
A12	`03`	`1`		`@1 MOTHE (Josiane) @9 ed.`
A14	`01`			`@1 LORIA - Nancy Université 615, rue du jardin botanique @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut.`
A15	`01`			`@1 IRIT, CNRS, Université de Toulouse @2 Toulouse @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut.`
A20				`@1 91-113`
A21				`@1 2012`
A23	`01`			`@0 FRE`
A24	`01`			`@0 eng`
A43	`01`			`@1 INIST @2 26729 @5 354000506318200040`
A44				`@0 0000 @1 © 2013 INIST-CNRS. All rights reserved.`
A45				`@0 2 p.3/4`
A47	`01`	`1`		`@0 13-0100266`
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A61				`@0 A`
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A68	`01`	`1`	`FRE`	`@1 Identification of communities of interest and leader-based social recommendations`
C01	`01`		`ENG`	@0 Recommender Systems aim at increasing the users' satisfaction in an online service, by suggesting items that correspond to their preferences. In this article we aim at increasing the quality of the recommendations, as well as reducing the size of the recommendation model. To increase the quality of recommendations, we propose a new way to form communities of interest, by exploiting the ratio between the similarity within communities and the similarity outside of the communities. To reduce the size of the recommendation model, we propose to select a subset of users, the leaders. We show that the new algorithm used to build communities leads to an improvement of the recommendations and that the leader-based recommender decreases the size of the model by 80%, while maintaining a high coverage and accuracy.
C02	`01`	`X`		`@0 001D02B04`
C03	`01`	`X`	`FRE`	`@0 Service web @5 06`
C03	`01`	`X`	`ENG`	`@0 Web service @5 06`
C03	`01`	`X`	`SPA`	`@0 Servicio web @5 06`
C03	`02`	`X`	`FRE`	`@0 Recommandation @5 18`
C03	`02`	`X`	`ENG`	`@0 Recommendation @5 18`
C03	`02`	`X`	`SPA`	`@0 Recomendación @5 18`
C03	`03`	`X`	`FRE`	`@0 Satisfaction @5 19`
C03	`03`	`X`	`ENG`	`@0 Satisfaction @5 19`
C03	`03`	`X`	`SPA`	`@0 Satisfacción @5 19`
C03	`04`	`X`	`FRE`	`@0 Préférence @5 20`
C03	`04`	`X`	`ENG`	`@0 Preference @5 20`
C03	`04`	`X`	`SPA`	`@0 Preferencia @5 20`
C03	`05`	`X`	`FRE`	`@0 Réseau social @5 21`
C03	`05`	`X`	`ENG`	`@0 Social network @5 21`
C03	`05`	`X`	`SPA`	`@0 Red social @5 21`
C03	`06`	`X`	`FRE`	`@0 Précision élevée @5 22`
C03	`06`	`X`	`ENG`	`@0 High precision @5 22`
C03	`06`	`X`	`SPA`	`@0 Precisión elevada @5 22`
C03	`07`	`X`	`FRE`	`@0 Intérêt @5 23`
C03	`07`	`X`	`ENG`	`@0 Interest @5 23`
C03	`07`	`X`	`SPA`	`@0 Interés @5 23`
C03	`08`	`X`	`FRE`	`@0 Modélisation @5 24`
C03	`08`	`X`	`ENG`	`@0 Modeling @5 24`
C03	`08`	`X`	`SPA`	`@0 Modelización @5 24`
C03	`09`	`X`	`FRE`	`@0 Organisation sociale @5 25`
C03	`09`	`X`	`ENG`	`@0 Social organization @5 25`
C03	`09`	`X`	`SPA`	`@0 Organización social @5 25`
C03	`10`	`X`	`FRE`	`@0 . @4 INC @5 82`
N21				`@1 070`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 13-0100266 INIST
FT :	Détection de communautés d'intérêt et recommandation sociale par leaders
FT :	(Identification of communities of interest and leader-based social recommendations)
AU :	BRUN (Armelle); BOYER (Anne); CABANAC (Guillaume); CHEVALIER (Max); MOTHE (Josiane)
AF :	LORIA - Nancy Université 615, rue du jardin botanique/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.); IRIT, CNRS, Université de Toulouse/Toulouse/France (1 aut., 2 aut., 3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Ingénierie des systèmes d'information : (2001); ISSN 1633-1311; France; Da. 2012; Vol. 17; No. 6; Pp. 91-113; Abs. anglais; Bibl. 2 p.3/4
LA :	Français
EA :	Recommender Systems aim at increasing the users' satisfaction in an online service, by suggesting items that correspond to their preferences. In this article we aim at increasing the quality of the recommendations, as well as reducing the size of the recommendation model. To increase the quality of recommendations, we propose a new way to form communities of interest, by exploiting the ratio between the similarity within communities and the similarity outside of the communities. To reduce the size of the recommendation model, we propose to select a subset of users, the leaders. We show that the new algorithm used to build communities leads to an improvement of the recommendations and that the leader-based recommender decreases the size of the model by 80%, while maintaining a high coverage and accuracy.
CC :	001D02B04
FD :	Service web; Recommandation; Satisfaction; Préférence; Réseau social; Précision élevée; Intérêt; Modélisation; Organisation sociale; .
ED :	Web service; Recommendation; Satisfaction; Preference; Social network; High precision; Interest; Modeling; Social organization
SD :	Servicio web; Recomendación; Satisfacción; Preferencia; Red social; Precisión elevada; Interés; Modelización; Organización social
LO :	INIST-26729.354000506318200040
ID :	13-0100266

Links to Exploration step

Pascal:13-0100266

Le document en format XML

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<AU>BRUN (Armelle); BOYER (Anne); CABANAC (Guillaume); CHEVALIER (Max); MOTHE (Josiane)</AU>
<AF>LORIA - Nancy Université 615, rue du jardin botanique/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.); IRIT, CNRS, Université de Toulouse/Toulouse/France (1 aut., 2 aut., 3 aut.)</AF>
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Détection de communautés d'intérêt et recommandation sociale par leaders

Détection de communautés d'intérêt et recommandation sociale par leaders

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri