Search Results - "Domingues, Marcos Aurélio"

Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems by Domingues, Marcos Aurélio, Jorge, Alípio Mário, Soares, Carlos

“…► A method that treats additional information as virtual items in recommender systems. ► The method is instantiated in three different algorithms for…”
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Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review by Sundermann, Camila, Domingues, Marcos, Sinoara, Roberta, Marcacini, Ricardo, Rezende , Solange

“…Recommender systems help users by recommending items, such as products and services, that can be of interest to these users. Context-aware recommender systems…”
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Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals by Domingues, Marcos Aurélio, Soares, Carlos, Jorge, Alípio Mário

“…The goal of many web portals is to select, organize and distribute content in order to satisfy its users/customers. This process is usually based on meta-data…”
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Combining usage and content in an online recommendation system for music in the Long Tail by Domingues, Marcos Aurélio, Gouyon, Fabien, Jorge, Alípio Mário, Leal, José Paulo, Vinagre, João, Lemos, Luís, Sordo, Mohamed

“…Nowadays, a large number of people consume music from the web. Web sites and online services now typically contain millions of music tracks, which complicates…”
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A large scale benchmark for session-based recommendations on the legal domain by Domingues, Marcos Aurélio, de Moura, Edleno Silva, Marinho, Leandro Balby, da Silva, Altigran

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Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems by Aurelio Domingues, Marcos, Garcia Manzato, Marcelo, Marcondes Marcacini, Ricardo, Vaccari Sundermann, Camila, Oliveira Rezende, Solange

“…Unlike the traditional recommender systems, that make recommendations only by using the relation between user and item, a context-aware recommender system…”
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Latent association rule cluster based model to extract topics for classification and recommendation applications by dos Santos, Fabiano Fernandes, Domingues, Marcos Aurélio, Sundermann, Camila Vaccari, de Carvalho, Veronica Oliveira, Moura, Maria Fernanda, Rezende, Solange Oliveira

“…•A topic modeling approach that explores clustering of association rules.•The approach provides topics with correlation of terms and low dimensionality.•The…”
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Privileged contextual information for context-aware recommender systems by Sundermann, Camila Vaccari, Domingues, Marcos Aurélio, Conrado, Merley da Silva, Rezende, Solange Oliveira

“…•WA method that treats additional information as virtual items in recommender systems.•The method is instantiated in three different algorithms for recommender…”
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A context‐aware recommender method based on text and opinion mining by Sundermann, Camila Vaccari, Padua, Renan, Tonon, Vítor Rodrigues, Marcacini, Ricardo Marcondes, Domingues, Marcos Aurélio, Rezende, Solange Oliveira

“…A recommender system is an information filtering technology that can be used to recommend items that may be of interest to users. Additionally, there are the…”
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Exploiting Multidimensional Data for web Site Automation by Domingues, Marcos Aurélio

“…Besides the user (the human agent who browses through the web site) there are generally two other important roles in the context of a web site, the owner and…”
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Exploiting Text Mining Techniques for Contextual Recommendations by Domingues, Marcos Aurelio, Vaccari Sundermann, Camila, Garcia Manzato, Marcelo, Marcondes Marcacini, Ricardo, Oliveira Rezende, Solange

“…Unlike traditional recommender systems, which make recommendations only by using the relation between users and items, a context-aware recommender system makes…”
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A data warehouse to support web site automation by Domingues, Marcos Aurélio, Soares, Carlos, Jorge, Alípio Mário, Rezende, Solange Oliveira

“…Background Due to the constant demand for new information and timely updates of services and content in order to satisfy the user’s needs, web site automation…”
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Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems by Santana, Igor Andre, Suniga, Abner, Donini, Juliano, Vaccari Sundermann, Camila, Oliveira Rezende, Solange, Aurelio Domingues, Marcos

“…A recommender system can be defined as an information filtering technology which can be used to output a ranking of items (e.g. products, places, etc) that are…”
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The Impact of Context-Aware Recommender Systems on Music in the Long Tail by Domingues, Marcos Aurelio, Oliveira Rezende, Solange

“…Music discovery and consumption have changed dramatically in recent years. Nowadays, most people consume music on their personal computers and mobile devices…”
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Exploiting geo-referenced data as contextual information into context-aware recommender systems by Domingues, Marcos Aurelio, Pimentel, Maria da Graca Campos

“…A recommender system can be defined as an information filtering technology which can be used to output a ranking of items (e.g., products, places, movies, etc)…”
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Using Taxonomies to Facilitate the Analysis of the Association Rules by Domingues, Marcos Aurélio, Rezende, Solange Oliveira

“…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…”
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A Web-Based System to Monitor the Quality of Meta-Data in Web Portals by Domingues, Marcos Aurelio, Soares, Carlos, Jorge, Alipio Mario

“…We present a web-based system to monitor the quality of the meta-data used to describe content in web portals. The system implements meta-data analysis using…”
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Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach by Marcondes Marcacini, Ricardo, Domingues, Marcos Aurelio, Hruschka, Eduardo R., Oliveira Rezende, Solange

“…Traditional hierarchical text clustering methods assume that the documents are represented only by "technical information", i.e., keywords, phrases,…”
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A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings by Santana, Igor André Pegoraro, Domingues, Marcos Aurelio

“…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…”
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Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback by Garcia Manzato, Marcelo, Domingues, Marcos Aurelio, Marcondes Marcacini, Ricardo, Oliveira Rezende, Solange

“…The knowledge of semantic information about the content and user's preferences is an important issue to improve recommender systems. However, the extraction of…”
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