Characterizing User Behavior and Items in Multimedia Streaming Services. - Diego Carvalho 002; Nícollas Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2017)

Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (WebMedia, 2017)

Non-personalized Movie Recommendation by Maximum k-Coverage. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (J. Inf. Data Manag., 2017)

FAiR: A Framework for Analyses and Evaluations on Recommender Systems. - Diego Carvalho 002; Nícollas Silva; Thiago Silveira; Fernando Mourão; Adriano C. M. Pereira; Diego Dias 001; Leonardo Rocha 001 (ICCSA (3), 2018)

Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services. - Diego Carvalho 002; Nícollas Silva; Alan Cardoso; Elverton C. Fazzion; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2018)

A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. - Diego Carvalho 002; Nícollas Silva; Tiago Trotta; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (CEC, 2019)

Efficient Parallel Associative Classification Based on Rules Memoization. - Michel Pires; Nícollas Silva; Leonardo Rocha 001; Wagner Meira Jr.; Renato Ferreira 001 (ICCS (4), 2019)

How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog? - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (ICCS (1), 2019)

A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services. - Diego Carvalho 002; Nícollas Silva; Alan Cardoso; Elverton C. Fazzion; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

Geographic-categorical diversification in POI recommendations. - Rodrigo Carvalho 002; Nícollas Silva; Luiz Chaves; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems. - Luiz Chaves; Nícollas Silva; Rodrigo Carvalho 002; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2019)

The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. - Nícollas Silva; Diego Carvalho 002; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2019)

How to Improve the Recommendation's Accuracy in POI Domains? - Luiz Chaves; Nícollas Silva; Rodrigo Carvalho 002; Adriano C. M. Pereira; Diego Roberto Colombo Dias; Leonardo Rocha 001 (ICCSA (1), 2020)

An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not? - Júlio Resende; Vinicius H. S. Durelli; Igor Campos Moraes; Nícollas Silva; Diego Roberto Colombo Dias; Leonardo Rocha 001 (ICCSA (1), 2020)

The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning. - Thiago Silva; Nícollas Silva; Heitor Werneck; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

Combining complementary diversification models for personalized POI recommendations. - Heitor Werneck; Nícollas Silva; Fernando Mourão; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

A Survey on Point-of-Interest Recommendation in Location-based Social Networks. - Heitor Werneck; Nícollas Silva; Matheus Carvalho Viana; Fernando Mourão; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2020)

A contextual approach to improve the user's experience in interactive recommendation systems. - Nícollas Silva; Heitor Werneck; Thiago Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2021)

Effective and diverse POI recommendations through complementary diversification models. - Heitor Werneck; Rodrigo Santos; Nícollas Silva; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Expert Syst. Appl., 2021)

Points of Interest recommendations: Methods, evaluation, and future directions. - Heitor Werneck; Nícollas Silva; Matheus Carvalho Viana; Adriano C. M. Pereira; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2021)

A Stacking Recommender System Based on Contextual Information for Fashion Retails. - Heitor Werneck; Nícollas Silva; Carlos Mito; Adriano C. M. Pereira; Elisa Tuler; Diego Dias 001; Leonardo Rocha 001 (ICCSA (1), 2022)

iRec: An Interactive Recommendation Framework. - Thiago Silva; Nícollas Silva; Heitor Werneck; Carlos Mito; Adriano C. M. Pereira; Leonardo Rocha 001 (SIGIR, 2022)

Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario. - Thiago Silva; Nícollas Silva; Carlos Mito; Adriano C. M. Pereira; Leonardo Rocha 001 (WebMedia, 2022)

Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains. - Heitor Werneck; Nícollas Campos Silva; Carlos Masao Mito; Adriano César Machado Pereira; Diego Roberto Colombo Dias; Elisa Tuler de Albergaria; Leonardo Chaves Dutra da Rocha (WebMedia, 2022)

Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. - Nícollas Silva; Heitor Werneck; Thiago Silva; Adriano C. M. Pereira; Leonardo Rocha 001 (Expert Syst. Appl., 2022)

A reproducible POI recommendation framework: Works mapping and benchmark evaluation. - Heitor Werneck; Nícollas Silva; Adriano C. M. Pereira; Matheus Carvalho Viana; Alejandro Bellogín; Jorge Martinez-Gil; Fernando Mourão; Leonardo Rocha 001 (Inf. Syst., 2022)

Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks. - Yan Andrade; Nícollas Campos Silva; Adriano C. M. Pereira; Elisa Tuler; Cleverson Vieira; Marcelo de Paiva Guimarães; Diego Dias 001; Leonardo Rocha 001 (ICCSA (1), 2023)

Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. - Nícollas Silva; Thiago Silva; Henrique Hott; Yan Ribeiro; Adriano C. M. Pereira; Leonardo Rocha 001 (SIGIR, 2023)

A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems. - Yan Andrade; Nícollas Silva; Thiago Silva; Adriano C. M. Pereira; Diego Roberto Colombo Dias; Elisa Tuler de Albergaria; Leonardo Rocha 001 (WebMedia, 2023)

A Survey on Review - Aware Recommendation Systems. - Guilherme Bittencourt; Guilherme Fonseca; Yan Andrade; Nícollas Silva; Leonardo Rocha 001 (WebMedia, 2023)

User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. - Nícollas Silva; Thiago Silva; Heitor Werneck; Leonardo Rocha 001; Adriano C. M. Pereira (Trans. Recomm. Syst., 2023)