- -

Using Graph-Based Models in a Persuasive Social Recommendation System

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Using Graph-Based Models in a Persuasive Social Recommendation System

Mostrar el registro completo del ítem

Palanca Cámara, J.; Heras Barberá, SM.; Jorge Cano, J.; Julian Inglada, VJ. (2015). Using Graph-Based Models in a Persuasive Social Recommendation System. ACM. https://doi.org/10.1145/2695664.2695732

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/65391

Ficheros en el ítem

Thumbnail
Nombre: IFF-SAC_2015.pdf
Tamaño: 886.6Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir/Preview
[Cerrado]
Nombre: Palanca-SAC15.pdf
Tamaño: 680.8Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: Using Graph-Based Models in a Persuasive Social Recommendation System
Autor: Palanca Cámara, Javier Heras Barberá, Stella María Jorge Cano, Javier Julian Inglada, Vicente Javier
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Nowadays, social networks have an enormous impact in the society generating a lot of useful information to be employed in new social applications. In this paper, we show how we have used a graph-based model to extract ...[+]
Palabras clave: Recommender systems , Data integration , Social networks
Derechos de uso: Reserva de todos los derechos
ISBN: 978-1-4503-3196-8
DOI: 10.1145/2695664.2695732
Editorial:
ACM
Versión del editor: http://dl.acm.org/citation.cfm?doid=2695664.2695732
Título del congreso: 30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015)
Lugar del congreso: Salamanca, Spain
Fecha congreso: April 13-17, 2015
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2012-36586-C03-01/ES/SOCIEDADES HUMANO-AGENTE: DISEÑO, FORMACION Y COORDINACION/
Descripción: © ACM 2015 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM, In Proceedings of the 30th Annual ACM Symposium on Applied Computing (pp. 189-194).http://dx.doi.org/10.1145/2695664.2695732
Agradecimientos:
This work was partially supported by the project MINE-CO/FEDER TIN2012-365686-C03-01 of the Spanish government and by the Spanish Ministry of Education, Culture and Sports under the Program for R&D Valorisation and Joint ...[+]
Tipo: Comunicación en congreso

References

Desel, J., Pernici, B., Weske, M. Mining Social Networks: Uncovering Interaction Patterns in Business Processes.Business Process Management, Berlin, vol. 3080, pp. 244--260 (2004)

Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. on KDE <b>17</b>(6) (2005) 734--749

X. Zhou, Y. Xu, Y. Li, A. Josang, and C. Cox, "The state-of-the-art in personalized recommender systems for social networking,"Artificial Intelligence Review, vol. 37, no. 2, pp. 119--132, 2012. [+]
Desel, J., Pernici, B., Weske, M. Mining Social Networks: Uncovering Interaction Patterns in Business Processes.Business Process Management, Berlin, vol. 3080, pp. 244--260 (2004)

Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. on KDE <b>17</b>(6) (2005) 734--749

X. Zhou, Y. Xu, Y. Li, A. Josang, and C. Cox, "The state-of-the-art in personalized recommender systems for social networking,"Artificial Intelligence Review, vol. 37, no. 2, pp. 119--132, 2012.

Ehrig M., "Ontology Alignment: Bridging the Semantic Gap,"Springer, 2007.

Euzenat, J. and Shvaiko P., "Ontology matching,"Springer, Heidelberg (DE), 2007.

Bleiholder, J., Naumann, F., "Data Fusion,"ACM Computing Surveys, 41(1):1--41, 2008.

Halpin, H., Thomson, H., "Special Issue on Identify, Reference and the Web,"Int. Journal on Semantic Web and Information Systems, 4(2):1--72, 2008.

I. Robinson, J. Webber, and E. Eifrem,Graph Databases. O'Reilly, 2013.

M. Pazzani and D. Billsus,Content-Based Recommendation Systems, ser. LNCS. Springer-Verlag, 2007, vol. 4321, pp. 325--341.

J. Schafer, D. Frankowski, J. Herlocker, and S. Sen,Collaborative Filtering Recommender Systems, ser. LNCS. Springer, 2007, v. 4321, pp. 291--324.

R. Burke, "Hybrid Recommender Systems: Survey and Experiments,"User Modeling and User-Adapted Interaction, vol. 12, no. 4, pp. 331--370, 2002.

C. Chesñevar, A. Maguitman, and M. González,Empowering Recommendation Technologies Through Argumentation. Springer, 2009, pp. 403--422.

G. Linden, J. Hong, M. Stonebraker, and M. Guzdial:, "Recommendation Algorithms, Online Privacy and More,"Comm. of the ACM, vol. 52, no. 5, 2009.

Khare, Rohit and Çelik, Tantek, "Microformats: a pragmatic path to the semantic web" in15th international conference on World Wide Web, ACM, 2006, pp. 865--866.

Fogués, Ricard L and Such, Jose M and et al, "BFF: A tool for eliciting tie strength and user communities in social networking services", inInformation Systems Frontiers, Springer, 2013, pp. 1--13.

S. Heras, V. Botti, and V. Julián. Argument-based agreements in agent societies.Neurocomputing, doi:10.1016/j.neucom.2011.02.022, 2011.

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem