Marcelo Garcia Manzato

35 papers A 3B 3C 1Misc 1Journal 9Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Interpretable Recommendation Model for Psychometric Data, With an Application to Gerontological Primary Care.
CoRR
André Paulino de Lima, Paula Castro, Suzana Carvalho Vaz de Andrade, Rosa Maria Marcucci, Ruth Caldeira de Melo, Marcelo Garcia Manzato
2025 J jnl
A study to guide developers in building accessible conversational systems to the older people.
Multim. Tools Appl.
Cynthya Letícia Teles de Oliveira, Lucas Padilha Modesto de Araujo, Kamila Rios da Hora Rodrigues, Marcelo Garcia Manzato
2025 J jnl
Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments.
J. Interact. Syst.
Paul Dany Flores Atauchi, André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato
2025 B conf
Multi-Objective Optimization of Explanation Metrics in Recommender Systems with LLMs.
ICTAI
André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato
2025 A conf
Towards Personality-Aware Explanations for Music Recommendations Using Generative AI.
RecSys
Gabrielle Alves, Dietmar Jannach, Luan Soares de Souza, Marcelo Garcia Manzato
2024 J jnl
Digitally nudging users to explore off-profile recommendations: here be dragons.
User Model. User Adapt. Interact.
Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Daniela E. Damian, Marcelo Garcia Manzato
2024 — conf
Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems.
xAI (2)
André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato
2024 A conf
User Perception of Fairness-Calibrated Recommendations.
UMAP
Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Marcelo Garcia Manzato
2023 — conf
A User Study on Explanations with Different Levels of Detail in Recommender Systems.
WebMedia
Luan Soares de Souza, Marcelo Garcia Manzato
2023 — conf
Enhancing Calibration and Reducing Popularity Bias in Recommender Systems.
ICEIS (Revised Selected Papers 2)
Rodrigo Ferrari de Souza, Marcelo Garcia Manzato
2023 J jnl
Offline Metrics for Evaluating Explanation Goals in Recommender Systems.
CoRR
André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha
2022 J jnl
A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations.
Expert Syst. J. Knowl. Eng.
André L. Zanon, Luan Souza, Diany Pressato, Marcelo Garcia Manzato
2022 — conf
Aspect-Based Summarization: An Approach With Different Levels of Details to Explain Recommendations.
WebMedia
Luan Soares de Souza, Marcelo Garcia Manzato
2022 J jnl
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data.
Knowl. Based Syst.
André L. Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato
2022 — conf
Empirical Studies Aimed at Understanding Conversational Recommender Systems and Accessibility Aspects.
HCI (46)
Lucas Padilha Modesto de Araujo, Cynthya Letícia Teles de Oliveira, Kamila Rios da Hora Rodrigues, Marcelo Garcia Manzato
2021 J jnl
A comparison among keyframe extraction techniques for CNN classification based on video periocular images.
Multim. Tools Appl.
Carolina Toledo Ferraz, William Barcellos, Osmando Pereira Junior, Tamiris Trevisan Negri Borges, Marcelo Garcia Manzato, Adilson Gonzaga, José Hiroki Saito
2021 A conf
An Interpretable Recommendation Model for Gerontological Care.
RecSys
André Paulino de Lima, Laurentino Augusto Dantas, Marcelo Garcia Manzato, Maria da Graça Campos Pimentel, Brunela Della Maggiori Orlandi, Paula Castro
2021 J jnl
Exploiting personalized calibration and metrics for fairness recommendation.
Expert Syst. Appl.
Diego Corrêa da Silva, Marcelo Garcia Manzato, Frederico Araújo Durão
2018 — conf
Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems.
BRACIS
Eduardo Pereira Fressato, Arthur Fortes da Costa, Marcelo Garcia Manzato
2017 — conf
Face Classification using a New Local Texture Descriptor.
WebMedia
Carolina Toledo Ferraz, Marcelo Garcia Manzato, Adilson Gonzaga
2015 C conf
Introducing the concept of "always-welcome recommendations".
ICIS
Edson B. dos Santos, Arthur F. Da Costa, Rafael Martins D'Addio, Marcelo Garcia Manzato, Rudinei Goularte
2014 — conf
A Collaborative Filtering Approach Based on User's Reviews.
BRACIS
Rafael Martins D'Addio, Marcelo Garcia Manzato
2014 — conf
Combining Multiple Metadata Types in Movies Recommendation Using Ensemble Algorithms.
WebMedia
Bruno Souza Cabral, Renato Dompieri Beltrao, Marcelo Garcia Manzato, Frederico Araújo Durão
2014 — conf
Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization.
WebMedia
Arthur da Costa Fortes, Marcelo Garcia Manzato
2014 — conf
Evaluating the Combination of Multiple Metadata Types in Movies Recommendation.
BRACIS
Renato Dompieri Beltrao, Bruno Souza Cabral, Marcelo Garcia Manzato, Frederico Araújo Durão
2014 — conf
Exploiting Text Mining Techniques for Contextual Recommendations.
WI-IAT (1)
Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2014 — conf
Generating Recommendations Based on Robust Term Extraction from Users' Reviews.
WebMedia
Rafael Martins D'Addio, Merley Conrado, Solange O. Rezende, Marcelo Garcia Manzato
2014 B conf
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback.
ICPR
Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende
2014 — conf
Multimodal Interactions in Recommender Systems: An Ensembling Approach.
BRACIS
Arthur da Costa Fortes, Marcelo Garcia Manzato
2014 B conf
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems.
ICPR
Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende
2013 Misc conf
gSVD++: supporting implicit feedback on recommender systems with metadata awareness.
SAC
Marcelo Garcia Manzato
2012 — conf
Accelerometers data interoperability: easing interactive applications development.
WebMedia
Jorge Rodrigues Carvalho, Marcelo Garcia Manzato, Rudinei Goularte
2012 — conf
Automatic annotation of tagged content using predefined semantic concepts.
WebMedia
Marcelo Garcia Manzato, Rudinei Goularte
2011 — —
An architecture for content personalization based on peer-level annotations.
Marcelo Garcia Manzato
2008 — conf
Video news classification for automatic content personalization: a genetic algorithm based approach.
WebMedia
Marcelo Garcia Manzato, Rudinei Goularte