Now showing items 1-20 of 42

    • A functional approach for disruptive event discovery and policy monitoring in mobility scenarios 

      Gómez Sebastià, Ignasi; Oliva Felipe, Luis Javier; Álvarez Napagao, Sergio; Garcia Gasulla, Dario; Tejeda Gómez, José Arturo; Vázquez Salceda, Javier (2014)
      Conference report
      Restricted access - publisher's policy
      This paper presents the results obtained of using LISP for real-time event detection and how these results are interpreted and used within the context of SUPERHUB, a European-Funded projected aimed to achieve a ...
    • A hybrid recommender system for improving automatic playlist continuation 

      Gatzioura, Anna; Vinagre, João; Jorge, Alípio Mário; Sànchez-Marrè, Miquel (2021-05-01)
      Article
      Open Access
      Although widely used, the majority of current music recommender systems still focus on recommendations’ accuracy, userpreferences and isolated item characteristics, without evaluating other important factors, like the joint ...
    • A privacy-protecting architecture for recommendation systems via the suppression of ratings 

      Parra Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge (2012-04)
      Article
      Restricted access - publisher's policy
      Recommendation systems are information-filtering systems that help users deal with information overload. Unfortunately, current recommendation systems prompt serious privacy concerns. In this work, we propose an architecture ...
    • A recommender system based on group consensus 

      Roselló Saurí, Llorenç; Prats Duaygues, Francesc; Sánchez Soler, Monica; Agell Jané, Núria (2010)
      Conference report
      Open Access
      This paper presents the foundation for a new methodology for a collaborative recommender system (RS). This methodology is based on the degree of consensus of a group of users stating their preferences via qualitative ...
    • A recommender system for process discovery 

      Ribeiro, Joel; Carmona Vargas, Josep; Misir, Mustafa; Sebag, Michele (Springer, 2014)
      Conference report
      Open Access
      Over the last decade, several algorithms for process discovery and process conformance have been proposed. Still, it is well-accepted that there is no dominant algorithm in any of these two disciplines, and then it is often ...
    • An intelligent decision support system for machine learning algorithms recommendation 

      Mihai, Andrei (Universitat Politècnica de Catalunya, 2017-02)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona. Facultat de Matemàtiques i Informàtica / Universitat Rovira i Virgili. Escola Tècnica Superior d'Enginyeria
      Machine learning is a very central topic in Artificial Intelligence and even computer science in general. Nowadays, its use in Big Data problems is quite well known. However, while the big data, and machine learning ...
    • Aplicación móvil para Fiestas Mayores 

      Xiang, Qiaorui (Universitat Politècnica de Catalunya, 2017-04-14)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • Combining data-driven and domain knowledge components in an intelligent assistant to build personalized menus 

      Sànchez-Marrè, Miquel; Gibert, Karina; Sevilla-Villanueva, Beatriz (Springer, 2019)
      Article
      Open Access
      In this paper, some new components that have been integrated in the Diet4You system for the generation of nutritional plans are introduced. Negative user preferences have been modelled and introduced in the system. ...
    • Contributions to security and privacy protection in recommendation systems 

      Vera del Campo, Juan Victoriano (Universitat Politècnica de Catalunya, 2012-10-29)
      Doctoral thesis
      Open Access
      A recommender system is an automatic system that, given a customer model and a set of available documents, is able to select and offer those documents that are more interesting to the customer. From the point of view of ...
    • Desenvolupament d'un sistema de recomanacions basat en contexts 

      Garcia Blanco, Adrià (Universitat Politècnica de Catalunya, 2018-06)
      Bachelor thesis
      Open Access
      Covenantee:   inLab FIB
      En aquest projecte hem treballat per a millorar el sistema de MailToTicket de l'inLab mitjançant el desenvolupament d'un sistema de recomanació basat en tiquets resolts. Amb aquest sistema pretenem estalviar temps i cost ...
    • Design and development of a recommender engine as a module for Liferay 

      Kabore, Sidnooma Christian (Universitat Politècnica de Catalunya, 2012-09-26)
      Master thesis
      Open Access
      Recommender engines (REs) also known as recommender systems are software tools and techniques providing suggestions to a user. The suggestions provided are aimed at supporting their users in various decision making processes ...
    • Development of a tourism recommender system 

      Ciurana Simó, Emili Roger (Universitat Politècnica de Catalunya, 2012-09)
      Master thesis
      Open Access
      Nowadays, many people rely on online services to plan a trip. However, they are usually faced with the problem of being supplied with lots of information. In consequence, they have to invest a great deal of time to decide ...
    • Disseny, implementació i estudi d’un sistema recomanador de pel·lícules 

      Ramon Moral, Arnau (Universitat Politècnica de Catalunya, 2021-02-04)
      Bachelor thesis
      Open Access
      En aquest Treball Final de Grau estudiarem la importància i rellevància dels sistemes recomanadors i veurem els diferents algorismes que utilitzen avui dia les grans companyies tecnològiques. L'ús dels sistemes recomanadors ...
    • Dynamic learning and refinement of preferences through keywords 

      Perelló Cruz, David (Universitat Politècnica de Catalunya, 2012-09)
      Master thesis
      Open Access
    • E-commerce content and collaborative-based recommendation using K-Nearest Neighbors and enriched weighted vectors 

      Rafieian, Bardia; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Conference report
      Open Access
      In this paper, we present two productive and functional recommender methods to improve the accuracy of predicting the right product for the user. One proposal is a survey-based recommender system that uses k-nearest ...
    • Explainability on recommender systems using contextual data 

      Gutiérrez Fandiño, Asier (Universitat Politècnica de Catalunya, 2020-04-14)
      Master thesis
      Open Access
      Recommender Systems (RS) are a fundamental part of any relevant e-commerce website, and the inclusion, improvement and optimization of this kind of systems is a growing trend. As these systems evolve, people are more ...
    • Exploiting distributional semantics for content-based and context-aware recommendation 

      Codina Busquet, Victor (Universitat Politècnica de Catalunya, 2014-06-13)
      Doctoral thesis
      Open Access
      During the last decade, the use of recommender systems has been increasingly growing to the point that, nowadays, the success of many well-known services depends on these technologies. Recommenders Systems help people to ...
    • Fairness in sequence-aware recommender systems 

      Ariza Casabona, Alejandro (Universitat Politècnica de Catalunya, 2020-01-31)
      Master thesis
      Restricted access - confidentiality agreement
    • Gestor de asignación de recursos en la plataforma Salesforce 

      Lasobras Planell, Santiago (Universitat Politècnica de Catalunya, 2020-10-26)
      Bachelor thesis
      Restricted access - confidentiality agreement
    • Health recommender system design in the context of CAREGIVERSPRO-MMD project 

      Oliva Felipe, Luis Javier; Barrué Subirana, Cristian; Cortés Martínez, Atia; Wolverson, Emma; Antomarini, Marco; Landrin, Isabelle; Votis, Konstantinos; Cortés García, Claudio Ulises (Association for Computing Machinery (ACM), 2018)
      Conference report
      Open Access
      CAREGIVERSPRO-MMD an EU H2020 funded project aims to build a digital platform focusing on people living with dementia and their caregivers, offering a selection of advanced, individually tailored services enabling them to ...