Proyectos

      Information Retrieval Group (IRG@UAM), UAM

• Intervenciones hacia sistemas de acceso a la información equitativos
  Proyecto nacional (PID2022-139131NB-I00), Ministerio de Ciencia e Innovación, Plan Nacional I+D+i, septiembre 2023 - agosto 2026
  Recuperación de información, sistemas de recomendación, equidad, transparencia, explicabilidad, sesgos, minería de opinión, minería de argumentos, análisis de redes sociales.
• Más allá de la recomendación estática: equidad, interacción y transparencia
  Proyecto nacional (PID2019-108965GB-I00), Ministerio de Ciencia e Innovación, Plan Nacional I+D+i, junio 2020 - mayo 2023
  Sesgos en recomendación, recomendación interactiva, explicación de recomendaciones, sistemas de recomendación conversacionales.
• Democracia digital participativa a través de instrumentos y modelos eficientes de gobierno abierto en los gobiernos locales andaluces
  Proyecto regional (PRY137/19), Fundación Centro de Estudios Andaluces - XI Convocatoria de Proyectos de Investigación, mayo 2020 - abril 2022
  Sistemas conversacionales para e-participación.
• Amermad. América en Madrid - Patrimonios Interconectados e Impacto Turístico en la Comunidad de Madrid
  Proyecto regional (H2019/HUM-5694), Comunidad Autónoma de Madrid. Programa de actividades de I+D entre grupos de investigación de la Comunidad de Madrid en Ciencias Sociales y Humanidades 2019, enero 2020 - diciembre 2022
  Modelado del conocimiento y sistemas de recomendación para patrimonios interconectados.
• Lowcomote. Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms
  Proyecto europeo (813884), Programa H2020. Innovative Training Networks (ITN) 2018, enero 2019 - diciembre 2022
  Sistemas de recomendación para tareas de modelado e ingeniería del software.
• Recomendación en medios sociales
  Proyecto nacional (TIN2016-80630-P), Ministerio de Economía y Competitividad, Plan Nacional I+D+i, enero 2017 - diciembre 2019
  Recomendación en medios sociales: contexto, diversidad y sesgo algorítmico.
• GICE
  Proyecto nacional (RTC-2014-2089-7), Octubre 2014 - Septiembre 2017
  Development of an Intelligent Gamification Platform for E-commerce. Project with BrainSINS, Offerum, Interactiv4 and Jugo.
  
• Voxpopuli
  Proyecto nacional (TIN2013-47090-C3-2), enero 2014 - diciembre 2015
  Efficient reputation analysis, propagation and recommendation in social network environments. Coordinated project with UNED (coordinator) and University of A Coruña.
• Predict
  Proyecto nacional (TIN2011-28538-C02), Enero 2012 - Diciembre 2013
  The Predict project addresses the extension of information access technologies towards the incorporation of new dimensions, namely novelty and diversity, subjectivity, context, and time, as essential aspects of information access effectiveness and tasks that are not captured in traditional Information Retrieval (IR) paradigms and models, in order to enhance the quality, effectiveness, and user satisfaction with retrieval systems, in further ways than state of the art technologies and theories in the field currently procure. The research focuses on these problems within the specific scope of personalized Information Retrieval and Recommender Systems.
• ReSHeT: Recommender Systems in the Social Web: Heterogeneity and Time Dimension
  Proyecto nacional (CCG10-UAM/TIC-5877), enero 2011 - diciembre 2011
  ReSHeT project addresses two improvements in Recommender Systems for the Social Web: the consideration of information heterogeneity and the inclusion of the time dimension. Specifically, it proposes the development of recommendation models that make use of user preferences from several sources (ratings, annotations, and resource consumptions, social networks, etc.), and can be applied to resources belonging to different media (text, image, audio, video). By testing these models on a dataset obtained from a real social system, we shall analyse factors that are influenced by time (e.g. changes in user preferences, differences among the user's preferences according to the time of day or the month of the year, resources subject to fashions and trends, etc.). Based on such analysis, we shall propose and evaluate a strategy to change or adjust the developed recommendation models over time.
• MA2VICMR: Mejorando el acceso, el análisis y la visibilidad de la información y los contenidos multilingües y multimedia en red para la Comunidad de Madrid
  Proyecto nacional (S2009TIC-1542), enero 2010 - diciembre 2013
  MAVIR Consortium is a research network co-funded by the Community of Madrid under the 4th Regional Plan for Scientific Research and Technological Innovation (IV PRICIT). It is formed by a multidisciplinary team of scientists, technicians, linguists and archivists to develop an integration effort in research, training and technology transfer. The research lines that are developed by MAVIR members belong to Natural Language Technologies and Scientific Communication through the Web.

      Networked Semantics Team (NETS), UAM

• RIM3. Recuperación de Información sobre distintos Medios basada en Modelos Multidimensionales: Relevancia, Novedad, Personalización y Contexto
  Proyecto nacional (TIN-2008-06566-C04-02), enero 2009 - diciembre 2011
  This project tackles the IR problem from a multidimensional perspective. Besides the dimension of relevance, systems could be endowed with advanced capabilities for novelty detection, redundancy filtering, subtopic detection, personalization and context-based retrieval.
• i3media
  Proyecto nacional (CENIT-2007-1012), enero 2007 - diciembre 2010
  Technologies for Automated Intelligent Audiovisual Content Creation and Management.
• Red Temática de Web Semántica
  Proyecto nacional (TSI-2006-26928-E), noviembre 2006 - septiembre 2008
  The Spanish Network of Semantic Web aims to ease the interchange the exchange and transfer of knowledge concerning ontologies and the Semantic Web between national research groups.
• MESH: Multimedia sEmantic Syndication for enHanced news services
  Proyecto integrado EU/FP6 (FP6-027685), marzo 2006 - febrero 2009
  MESH applies multimedia analysis and reasoning tools, network agents and content management techniques to extract, compare and combine meaning from multiple multimedia sources, and produce advanced personalized multimedia summaries, deeply linked among them and to the original sources to provide end users with an easy-to-use "multimedia mesh" concept, with enhanced navigation aids. A step further is to empower users with the means to reuse available content by offering media enrichment and semantic mixing of both personal and network content, as well as automatic creation from semantic descriptions.
• S5T. Búsqueda Semántica Personalizada y Escalable de Contenidos de Texto y Habla en la Web Semántica
  Proyecto nacional (TIN-2005-06885), diciembre 2005 - noviembre 2008
  This project provides a) the development of a novel semantic search model, with ontology-based content ranking algorithms; b) the combination of personalisation techniques with the semantic-based representation models, to achieve improvements in the relative precision and relevance of search results with respect to the particular interests of individual users; c) the integration of text and voice contents in a single access platform for large-scale repositories; and d) an experience in the realisation the of Semantic Web proposals.
• aceMedia. Integrating Knowledge, Semantics and Content for User-centred Intelligent Media Services
  Proyecto integrado EU/FP6 (FP6-001765), Enero 2004 - Diciembre 2007
  The main technological objectives of aceMedia project are to discover and exploit knowledge inherent to the content in order to make content more relevant to the user; to automate annotation at all levels; and to add functionality to ease content creation, transmission, search, access, consumption and re-use. In addition, available user and terminal profiles, the extracted semantic content descriptions and advanced mining methods will be used to provide user and network adaptive transmission and terminal optimised rendering.
• Bronto. Taxonomías XBRL y Ontologías OWL para Fondos de Inversión
  Proyecto nacional (FIT-340000-2005-256), agosto 2005 - julio 2006
  The definition of XBRL taxonomies and OWL ontologies for investment funds. The principal aim is to evaluate the use of XBRL vs. the use of OWL in the financial domain, in order to cross-fertilize both research lines and to assess the applicability of both languages to the financial market.

      Machine Learning Group (GAA, Grupo de Aprendizaje Automático), UAM

• AE3: Aprendizaje, Evolución y Estadística Extrema
  Proyecto nacional (TIN-2004-07676-C02-01), diciembre 2004 - noviembre 2007
  The overall aim of the "Learning, Evolution and Extreme Statistics" (AE3 in its Spanish initial letters) project is to study those hard pattern recognition problems where objects of interests are statistically overwhelmed by others, in three concrete areas: natural image statistics, extreme sample classification and time modeling in finance. The main techniques to be used are machine learning, computer vision or neurobiological modelling.