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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...
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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...
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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...
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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 ...