2 citations · 3 across the 2 of their papers we have counts for
4 papers
A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings
Igor André Pegoraro Santana, Marcos Aurelio Domingues
Recommender Systems are tools that improve how users find relevant information in web systems, so they do not face too much information. In order to generate better recommendations…
Combining Privileged Information to Improve Context-Aware Recommender Systems
Camila V. Sundermann, Marcos A. Domingues, Ricardo M. Marcacini +1
A recommender system is an information filtering technology which can be used to predict preference ratings of items (products, services, movies, etc) and/or to output a ranking of…
Using Taxonomies to Facilitate the Analysis of the Association Rules
Marcos Aurélio Domingues, Solange Oliveira Rezende
The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes. Howeve…
Using Contextual Information as Virtual Items on Top-N Recommender Systems
Marcos A. Domingues, Alipio Mario Jorge, Carlos Soares
Traditionally, recommender systems for the Web deal with applications that have two dimensions, users and items. Based on access logs that relate these dimensions, a recommendation…