• A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce 

      Anoop, V S; Asharaf, S (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      The task of mining large unstructured text archives, extracting useful patterns and then organizing them into a knowledgebase has attained a great attention due to its vast array of immediate applications in business. ...
    • Graph-based Techniques for Topic Classification of Tweets in Spanish 

      Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ...
    • Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques 

      Caro-Martínez, Marta; Jiménez-Díaz, Guillermo; Recio-García, Juan A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...