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dc.contributorSànchez-Marrè, Miquel
dc.contributor.authorGkatzioura, Anna
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2013-07-10T15:00:35Z
dc.date.available2013-07-10T15:00:35Z
dc.date.issued2013-06
dc.identifier.urihttp://hdl.handle.net/2099.1/18732
dc.description.abstract[ANGLÈS] Market basket analysis is examined through the application of probabilistic topic models and case-based reasoning in order to provide more insight into customer buying habits and generate meaningful recommendations.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshMultivariate analysis
dc.subject.otherRecommendation systems
dc.subject.otherprobabilistic topic models
dc.subject.otherLatent Dirichlet Allocation
dc.subject.othercase-based reasoning
dc.subject.othermarket basket analysis
dc.subject.othercustomer preference learning
dc.subject.otherRecommendation systems
dc.titleDesign and Implementation of a Customer Personalised Recomender System
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacAnàlisi multivariable
dc.identifier.slug91209
dc.rights.accessOpen Access
dc.date.updated2013-07-02T15:35:08Z
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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