Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. - Carlos Soares; Alípio Mário Jorge; Marcos Aurélio Domingues (EPIA, 2005)

A Web-Based System to Monitor the Quality of Meta-Data in Web Portals. - Marcos Aurélio Domingues; Carlos Soares; Alípio Mário Jorge (IAT Workshops, 2006)

A Web Application for Mathematics Education. - Ana Paula Tomás; José Paulo Leal; Marcos Aurélio Domingues (ICWL, 2007)

Rapid Development of Web Interfaces to Heterogeneous Systems. - José Paulo Leal; Marcos Aurélio Domingues (SOFSEM (1), 2007)

An independent platform for the monitoring, analysis and adaptation of web sites. - Marcos Aurélio Domingues (RecSys, 2008)

The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization. - Marcos Aurélio Domingues; Alípio Mário Jorge; Carlos Soares (Web Intelligence, 2008)

Exploiting Multidimensional Data for Web Site Automation - Marcos Aurélio Domingues (2010)

Three Current Issues In Music Autotagging. - Gonçalo Marques; Marcos Aurélio Domingues; Thibault Langlois; Fabien Gouyon (ISMIR, 2011)

Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems. - Marcos Aurélio Domingues; Alípio Mário Jorge; Carlos Soares (Web Intelligence, 2011)

Exploiting multidimensional data for web site automation. - Marcos Aurélio Domingues (AI Commun., 2011)

Using Contextual Information as Virtual Items on Top-N Recommender Systems - Marcos Aurélio Domingues; Alípio Mário Jorge; Carlos Soares (CoRR, 2011)

Using Taxonomies to Facilitate the Analysis of the Association Rules - Marcos Aurélio Domingues; Solange Oliveira Rezende (CoRR, 2011)

Combining usage and content in an online music recommendation system for music in the long-tail. - Marcos Aurélio Domingues; Fabien Gouyon; Alípio Mário Jorge; José Paulo Leal; João Vinagre; Luís Lemos; Mohamed Sordo (WWW (Companion Volume), 2012)

The Impact of Context-Aware Recommender Systems on Music in the Long Tail. - Marcos Aurélio Domingues; Solange Oliveira Rezende (BRACIS, 2013)

Improving consensus clustering of texts using interactive feature selection. - Ricardo M. Marcacini; Marcos Aurélio Domingues; Solange Oliveira Rezende (WWW (Companion Volume), 2013)

Combining usage and content in an online recommendation system for music in the Long Tail. - Marcos Aurélio Domingues; Fabien Gouyon; Alípio Mário Jorge; José Paulo Leal; João Vinagre; Luís Lemos; Mohamed Sordo (Int. J. Multim. Inf. Retr., 2013)

Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems. - Marcos Aurélio Domingues; Alípio Mário Jorge; Carlos Soares (Inf. Process. Manag., 2013)

Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals. - Marcos Aurélio Domingues; Carlos Soares; Alípio Mário Jorge (Inf. Syst. E Bus. Manag., 2013)

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Ricardo M. Marcacini; Solange Oliveira Rezende (BRACIS, 2014)

Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. - Marcos Aurélio Domingues; Marcelo Garcia Manzato; Ricardo Marcondes Marcacini; Camila Vaccari Sundermann; Solange Oliveira Rezende (ICPR, 2014)

Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. - Marcelo Garcia Manzato; Marcos Aurélio Domingues; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (ICPR, 2014)

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. - Ricardo Marcondes Marcacini; Marcos Aurélio Domingues; Eduardo R. Hruschka; Solange Oliveira Rezende (ICPR, 2014)

Named entities as privileged information for hierarchical text clustering. - Roberta Akemi Sinoara; Camila Vaccari Sundermann; Ricardo M. Marcacini; Marcos Aurélio Domingues; Solange O. Rezende (IDEAS, 2014)

Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. - Arthur F. Da Costa; Marcos Aurélio Domingues; Solange Oliveira Rezende; Marcelo G. Manzato (WI-IAT (2), 2014)

Exploiting Text Mining Techniques for Contextual Recommendations. - Marcos Aurélio Domingues; Camila Vaccari Sundermann; Marcelo Garcia Manzato; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (WI-IAT (1), 2014)

Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. - Marcelo G. Manzato; Marcos Aurélio Domingues; Solange Oliveira Rezende (WI-IAT (2), 2014)

A data warehouse to support web site automation. - Marcos Aurélio Domingues; Carlos Soares; Alípio Mário Jorge; Solange Oliveira Rezende (J. Braz. Comput. Soc., 2014)

Applying multi-view based metadata in personalized ranking for recommender systems. - Marcos Aurélio Domingues; Camila Vaccari Sundermann; Flávio M. M. Barros; Marcelo G. Manzato; Maria G. C. Pimentel; Solange Oliveira Rezende (SAC, 2015)

A Platform for the Recommendation of Points of Interest in Brazilian Cities: Architecture and Case Study. - Marcos Aurélio Domingues; Thais Emanuele Santos; Raíza Hanada; Bruna C. R. Cunha; Solange Oliveira Rezende; Maria da Graça Campos Pimentel (WebMedia, 2015)

Combining Privileged Information to Improve Context-Aware Recommender Systems. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (CoRR, 2015)

Scalable Online Top-N Recommender Systems. - Alípio M. Jorge; João Vinagre; Marcos Aurélio Domingues; João Gama 001; Carlos Soares; Pawel Matuszyk; Myra Spiliopoulou (EC-Web, 2016)

Privileged contextual information for context-aware recommender systems. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Merley da Silva Conrado; Solange Oliveira Rezende (Expert Syst. Appl., 2016)

Mining unstructured content for recommender systems: an ensemble approach. - Marcelo G. Manzato; Marcos Aurélio Domingues; Arthur da Costa Fortes; Camila Vaccari Sundermann; Rafael Martins D'Addio; Merley da Silva Conrado; Solange O. Rezende; Maria G. C. Pimentel (Inf. Retr. J., 2016)

Exploiting geo-referenced data as contextual information into context-aware recommender systems. - Marcos Aurélio Domingues; Maria da Graça Campos Pimentel (SCCC, 2017)

Exploiting feature extraction techniques on users' reviews for movies recommendation. - Rafael Martins D'Addio; Marcos Aurélio Domingues; Marcelo G. Manzato (J. Braz. Comput. Soc., 2017)

Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems. - Igor André Santana; Abner Suniga; Juliano Donini; Camila Vaccari Sundermann; Solange Oliveira Rezende; Marcos Aurélio Domingues (WI, 2018)

Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems. - Camila Vaccari Sundermann; João Antunes; Marcos Aurélio Domingues; Solange O. Rezende (WI, 2018)

Latent association rule cluster based model to extract topics for classification and recommendation applications. - Fabiano Fernandes dos Santos; Marcos Aurélio Domingues; Camila Vaccari Sundermann; Veronica Oliveira de Carvalho; Maria Fernanda Moura; Solange Oliveira Rezende (Expert Syst. Appl., 2018)

Exploring Multi-label Stacking in Natural Language Processing. - Rodrigo Mansueli Nunes; Marcos Aurélio Domingues; Valéria Delisandra Feltrim (EPIA (2), 2019)

Exploring Textual Features for Multi-label Classification of Portuguese Film Synopses. - Giuseppe Portolese; Marcos Aurélio Domingues; Valéria Delisandra Feltrim (EPIA (2), 2019)

A Context-Aware Recommender Method Based on Text Mining. - Camila Vaccari Sundermann; Renan de Pádua; Vítor Rodrigues Tonon; Marcos Aurélio Domingues; Solange Oliveira Rezende (EPIA (2), 2019)

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. - Camila Vaccari Sundermann; Marcos Aurélio Domingues; Roberta Akemi Sinoara; Ricardo Marcondes Marcacini; Solange Oliveira Rezende (Inf., 2019)

Music4All: A New Music Database and Its Applications. - Igor André Pegoraro Santana; Fabio Pinhelli; Juliano Donini; Leonardo Gabiato Catharin; Rafael Biazus Mangolin; Yandre Maldonado e Gomes da Costa; Valéria Delisandra Feltrim; Marcos Aurélio Domingues (IWSSIP, 2020)

Improving Musical Tag Annotation with Stacking and Convolutional Neural Networks. - Juliano Donini da Silva; Yandre Maldonado e Gomes da Costa; Marcos Aurélio Domingues (IWSSIP, 2020)

Improving Context-Aware Music Recommender Systems with a Dual Recurrent Neural Network. - Igor André Pegoraro Santana; Marcos Aurélio Domingues (SIMBig, 2020)

A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings. - Igor André Pegoraro Santana; Marcos Aurélio Domingues (CoRR, 2020)

A context-aware recommender method based on text and opinion mining. - Camila Vaccari Sundermann; Renan de Padua; Vítor Rodrigues Tonon; Ricardo Marcondes Marcacini; Marcos Aurélio Domingues; Solange Oliveira Rezende (Expert Syst. J. Knowl. Eng., 2020)

Improving Multilabel Text Classification with Stacking and Recurrent Neural Networks. - Rodrigo Mansueli Nunes; Marcos Aurélio Domingues; Valéria Delisandra Feltrim (WebMedia, 2022)

Context-Aware Music Recommendation with Metadata Awareness and Recurrent Neural Networks. - Igor André Pegoraro Santana; Marcos Aurélio Domingues (Comput. Informatics, 2022)

Stingless Bee Classification: A New Dataset and Baseline Results. - Matheus H. C. Leme; Vinicius S. Simm; Douglas Rorie Tanno; Yandre M. G. Costa; Marcos Aurélio Domingues (CIARP, 2023)

Leveraging Query Terms for Efficient Legal Document Recommendation. - André Rolim; Leandro Balby Marinho; Edleno Silva de Moura; Marcos Aurélio Domingues; Ricardo S. Oliveira (ECIR (3), 2025)

Recommending Points of Interest with a Context-Aware Dual Recurrent Neural Network. - Lucas Silva Couto; Gislaine Camila Lapasini Leal; Marcos Aurélio Domingues (ICEIS (1), 2025)

Learning to Rank for Query Auto-completion in the Legal Domain. - Marcos Aurélio Domingues; Lucas Rocha; Edleno Silva de Moura; Altigran Soares da Silva (J. Braz. Comput. Soc., 2025)

A large scale benchmark for session-based recommendations on the legal domain. - Marcos Aurélio Domingues; Edleno Silva de Moura; Leandro Balby Marinho; Altigran S. da Silva (Artif. Intell. Law, 2025)