- -

Towards persuasive social recommendation: knowledge model

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Towards persuasive social recommendation: knowledge model

Mostrar el registro completo del ítem

Palanca Cámara, J.; Heras Barberá, SM.; Jorge Cano, J.; Julian Inglada, VJ. (2015). Towards persuasive social recommendation: knowledge model. ACM SIGAPP Applied Computing Review. 15(2):41-49. https://doi.org/10.1145/2815169.2815173

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/62358

Ficheros en el ítem

Metadatos del ítem

Título: Towards persuasive social recommendation: knowledge model
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:
[EN] The exponential growth of social networks makes fingerprint let by users on the Internet a great source of information, with data about their preferences, needs, goals, profile and social environment. These data ...[+]
Palabras clave: Recommender systems , Data integration , Social networks
Derechos de uso: Reserva de todos los derechos
Fuente:
ACM SIGAPP Applied Computing Review. (issn: 1559-6915 )
DOI: 10.1145/2815169.2815173
Versión del editor: http://dx.doi.org/10.1145/2695664.2695732
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2012-36586-C03-01/ES/SOCIEDADES HUMANO-AGENTE: DISEÑO, FORMACION Y COORDINACION/
info:eu-repo/grantAgreement/MECD//SP20140788/
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: Artículo

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 17(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 17(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.

R. Fogués, J. M. Such, A. Espinosa, and A. Garcia-Fornes. BFF: A tool for eliciting tie strength and user communities in social networking services.Information Systems Frontiers, 16(2), 225--237, 2014.

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

S. Berkovsky, T. Kuflik, and F. Ricci. Mediation of user models for enhanced personalization in recommender systems. InUser Modeling and User-Adapted Interaction, 18(3), 245--286, 2008.

I. Cantador, I. Konstas, and J. M. Jose. Categorising social tags to improve folksonomy-based recommendations.Web Semantics: Science, Services and Agents on the World Wide Web, 9(1), 1--15, 2011.

I. Guy, N. Zwerdling, I. Ronen, D. Carmel, and E. Uziel. Social media recommendation based on people and tags. InProceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pp. 194--201, ACM, 2010.

A. Tiroshi, S. Berkovsky, M. A. Kaafar, D. Vallet, and T. Kuflik. Graph-Based Recommendations: Make the Most Out of Social Data. InUser Modeling, Adaptation, and Personalization, pp. 447--458, Springer International Publishing, 2014.

J. J. Pazos, A. Fernández, R. P. Díaz. Recommender Systems for the Social Web, Springer Berlin Heidelberg, 2012.

M. Ueda, M. Takahata, and S. Nakajima. UserâĂŹs food preference extraction for personalized cooking recipe recommendation.Semantic Personalized Information Management: Retrieval and Recommendation, SPIM, pp. 98--105 2011.

I. Mazzotta, F. De Rosis, and V. Carofiglio. Portia: A user-adapted persuasion system in the healthy-eating domain.Intelligent Systems, IEEE, 22(6), 42--51, 2007.

A. Said, and A. Bellogín. You are what you eat! tracking health through recipe interactions. InProceedings of the 6th Workshop on Recommender Systems and the Social Web, RSWeb, 2014.

J. Freyne, and S. Berkovsky. Intelligent food planning: personalized recipe recommendation. InProceedings of the 15th international conference on Intelligent user interfaces.pp. 321--324, ACM, 2010.

[-]

recommendations

 

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

Mostrar el registro completo del ítem