- -

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 sencillo del ítem

Ficheros en el ítem

dc.contributor.author Palanca Cámara, Javier es_ES
dc.contributor.author Heras Barberá, Stella María es_ES
dc.contributor.author Jorge Cano, Javier es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.date.accessioned 2016-06-07T10:27:57Z
dc.date.available 2016-06-07T10:27:57Z
dc.date.issued 2015-04
dc.identifier.isbn 978-1-4503-3196-8
dc.identifier.uri http://hdl.handle.net/10251/65391
dc.description © 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 es_ES
dc.description.abstract 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 and model data in order to develop a Social Recommendation System which recommends recipes in a social network. es_ES
dc.description.sponsorship 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 Resources VLC/CAMPUS, as part of the Campus of International Excellence Program (Ref. SP20140788). en_EN
dc.format.extent 6 es_ES
dc.language Inglés es_ES
dc.publisher ACM es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Recommender systems es_ES
dc.subject Data integration es_ES
dc.subject Social networks es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Using Graph-Based Models in a Persuasive Social Recommendation System es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1145/2695664.2695732
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-36586-C03-01/ES/SOCIEDADES HUMANO-AGENTE: DISEÑO, FORMACION Y COORDINACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015) es_ES
dc.relation.conferencedate April 13-17, 2015 es_ES
dc.relation.conferenceplace Salamanca, Spain es_ES
dc.relation.publisherversion http://dl.acm.org/citation.cfm?doid=2695664.2695732 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 290749 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.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) es_ES
dc.description.references 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 es_ES
dc.description.references 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. es_ES
dc.description.references Ehrig M., "Ontology Alignment: Bridging the Semantic Gap,"Springer, 2007. es_ES
dc.description.references Euzenat, J. and Shvaiko P., "Ontology matching,"Springer, Heidelberg (DE), 2007. es_ES
dc.description.references Bleiholder, J., Naumann, F., "Data Fusion,"ACM Computing Surveys, 41(1):1--41, 2008. es_ES
dc.description.references 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. es_ES
dc.description.references I. Robinson, J. Webber, and E. Eifrem,Graph Databases. O'Reilly, 2013. es_ES
dc.description.references M. Pazzani and D. Billsus,Content-Based Recommendation Systems, ser. LNCS. Springer-Verlag, 2007, vol. 4321, pp. 325--341. es_ES
dc.description.references J. Schafer, D. Frankowski, J. Herlocker, and S. Sen,Collaborative Filtering Recommender Systems, ser. LNCS. Springer, 2007, v. 4321, pp. 291--324. es_ES
dc.description.references R. Burke, "Hybrid Recommender Systems: Survey and Experiments,"User Modeling and User-Adapted Interaction, vol. 12, no. 4, pp. 331--370, 2002. es_ES
dc.description.references C. Chesñevar, A. Maguitman, and M. González,Empowering Recommendation Technologies Through Argumentation. Springer, 2009, pp. 403--422. es_ES
dc.description.references G. Linden, J. Hong, M. Stonebraker, and M. Guzdial:, "Recommendation Algorithms, Online Privacy and More,"Comm. of the ACM, vol. 52, no. 5, 2009. es_ES
dc.description.references 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. es_ES
dc.description.references 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. es_ES
dc.description.references S. Heras, V. Botti, and V. Julián. Argument-based agreements in agent societies.Neurocomputing, doi:10.1016/j.neucom.2011.02.022, 2011. es_ES


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

Mostrar el registro sencillo del ítem