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Simultaneous co-clustering and learning to address the cold start problem in recommender systems
(ElsevierAmsterdam, 2015-07)
Recommender Systems (RSs) are powerful and popular tools for e-commerce. To build their recommendations, RSs make use of varied data sources, which capture the characteristics of items, users, and their transactions. Despite ...
Sistemas de recomendação com auxílio de processamento de imagens de redes sociais
(Universidade do Vale do Rio dos Sinos, 2020-10-09)
Recommendation Systems are of great relevance for systems that want to deliver more value to the user. They provide personalized results by the use of particular algorithms. Among the various recommendation techniques the ...
Sistemas de recomendação com auxílio de processamento de imagens de redes sociais
(Universidade do Vale do Rio dos Sinos, 2020-10-09)
Recommendation Systems are of great relevance for systems that want to deliver more value to the user. They provide personalized results by the use of particular algorithms. Among the various recommendation techniques the ...
Assessing and improving recommender systems to deal with user cold-start problem
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2017)
Induction of triploidy in spotted sand bass (Paralabrax maculatofasciatus Steindachner, 1868) by cold shock
(Aquaculture Research, 2008)
Conditions for the induction of triploidy with cold shock of fertilized eggs of the spotted sand bass Paralabrax maculatofasciatus (Steindachner) were investigated. Different temperatures (12, 8 and 4 °C), timing of cold ...
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
(ElsevierAmsterdam, 2015)
Taxonomy-driven content-based recommendation for new itens
(Universidade Federal de Minas GeraisUFMG, 2014-02-21)
Recommender systems aim at predicting the preference of a user towards a given item such as a movie, a song, or a news story. Effective recommendations can be produced through collaborative filtering, in which case the ...
URecommender: An API for Recommendation SystemsURecommender: Uma API para Sistemas de Recomendacão de Conteúdo
(2020-06-01)
Recommendation systems are intended to assist users in dealing with information overload by providing a content filtering mechanism. Content filtering is based on the user's preferences and interests. Current recommendation ...