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  1. No Access

    Chapter and Conference Paper

    Challenges and Solutions in Large-Scale News Recommenders

    This paper describes the main challenges and solutions adopted in large-scale production news recommenders in Grupo Globo, the biggest Latin American mass media group. Its vertical information portals reach 10...

    Joel Pinho Lucas in Highlights in Practical Applications of Ag… (2023)

  2. No Access

    Chapter and Conference Paper

    Applying Recommender Methodologies in Tourism Sector

    Nowadays, there is a constant need for personalization in recommender systems. Thus, they try to bring it by making suggestion and providing information about items available. There are numerous options of met...

    Joel Pinho Lucas, Bruno E. da Silva Coelho in Highlights in Practical Applications of Ag… (2011)

  3. No Access

    Chapter and Conference Paper

    Multivariate Discretization for Associative Classification in a Sparse Data Application Domain

    Associative classification is becoming a promising alternative to classical machine learning algorithms. It is a hybrid technique that combines supervised and unsupervised data mining algorithms and builds cla...

    María N. Moreno García, Joel Pinho Lucas in Hybrid Artificial Intelligence Systems (2010)

  4. No Access

    Chapter and Conference Paper

    Semantic Based Web Mining for Recommender Systems

    Availability of efficient mechanisms for selective and personalized recovery of information is nowadays one of the main demands of Web users. In the last years some systems endowed with intelligent mechanisms ...

    María N. Moreno García, Joel Pinho Lucas in Distributed Computing and Artificial Intel… (2010)