Tesis doctorales: TESEO

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Ficha de Tesis

Título: COMPUTATIONAL INTELLIGENT METHODS FOR TRUSTING IN SOCIAL NETWORKS
Autor: NUÑEZ GONZALEZ, JOSE DAVID
Universidad: Universidad del País Vasco/Euskal Herriko Unibertsitatea
Departamento: Ciencia de la computación e inteligencia artificial
Fecha de Lectura: 26/02/2016
Mención Europeo / Mención Internacional: Concedido
Programa de doctorado: Programa Oficial de Doctorado en Ingeniería Informática
Dirección:
- GRAÑA ROMAY, MANUEL (Director)
Tribunal:
- WOZNIAK ---, MICHAL (presidente)
- FERNANDEZ GAUNA, BORJA (secretario)
- MANHAES SAVIO, ALEXANDRE (vocal)
- TORO RODRIGUEZ, CARLOS ANDRES (vocal)
- MIGUEL ALONSO, JOSE (vocal)
Descriptores:
- INTELIGENCIA ARTIFICIAL
- INFORMATICA
Localización: REPOSITORIO INSTITUCIONAL E.H.U./U.P.V.

Marcador: https://www.educacion.es/teseo/mostrarRef.do?ref=1348185Añadir a favoritos.
Resumen:
This Thesis covers three research lines of Social Networks. The rst proposed reseach line is related with Trust. Dierent ways of feature extraction are proposed for Trust Prediction comparing results with classic methods. The problem of bad balanced datasets is covered in this work. The second proposed reseach line is related with Recommendation Systems. Two experiments are proposed in this work. The rst experiment is about recipe generation with a bread machine. The second experiment is about product generation based on rating given by users. The third research line is related with Inuence Maximization. In this work a new heuristic method is proposed to give the minimal set of nodes that maximizes the inuence of the network.

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