Publicaciones (22) Publicaciones de MANUEL JOSÉ BARRANCO GARCÍA

2023

  1. A Content-Based Group Recommender System Using Feature Weighting and Virtual Users Aggregation

    Studies in Big Data (Springer Science and Business Media Deutschland GmbH), pp. 383-403

2021

  1. A Big Data Semantic Driven Context Aware Recommendation Method

    Advances in Intelligent Systems and Computing

2019

  1. A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

    IEEE Access, Vol. 7, pp. 182664-182678

  2. Exploring fuzzy rating regularities for managing natural noise in collaborative recommendation

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 1382-1392

2018

  1. Group Recommendations Based on Hesitant Fuzzy Sets

    International Journal of Intelligent Systems, Vol. 33, Núm. 10, pp. 2058-2077

2017

  1. Dealing with diversity and novelty in group recommendations using Hesitant fuzzy sets

    IEEE International Conference on Fuzzy Systems

2014

  1. Improving group recommendation with outlier data filtering

    Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

  2. Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures

    International Journal of Computational Intelligence Systems, Vol. 7, Núm. 1, pp. 80-89

2012

  1. A context-aware mobile recommender system based on location and trajectory

    Advances in Intelligent Systems and Computing

  2. A location-aware tourism recommender system based on mobile devices

    World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.

  3. A mobile 3D-GIS hybrid recommender system for tourism

    Information Sciences, Vol. 215, pp. 37-52

2010

  1. A method for weighting multi-valued features in content-based filtering

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. Incomplete preference relations to smooth out the cold-start in Collaborative Recommender Systems

    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

2008

  1. A knowledge based recommender system based on consistent preference relations

    Studies in Computational Intelligence, Vol. 117, pp. 93-111

  2. A knowledge based recommender system with multigranular hierarchical linguistic contexts

    World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

  3. A knowledge based recommender system with multigranular linguistic information

    International Journal of Computational Intelligence Systems, Vol. 1, Núm. 3, pp. 225-236

  4. A knowledge based recommender system with multigranular linguistic information

    International Journal of Computational Intelligence Systems, Vol. 1, Núm. 3, pp. 225-236

  5. Improving the effectiveness of knowledge based recommender systems using incomplete linguistic preference relations

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems

2007

  1. A multigranular linguistic content-based recommendation model

    International Journal of Intelligent Systems, Vol. 22, Núm. 5, pp. 419-434

  2. Building user profiles for recommender systems from incomplete preference relations

    IEEE International Conference on Fuzzy Systems