Devices Descriptions for Context-Based Content Adaptation. - Robson Eisinger; Marcelo G. Manzato; Rudinei Goularte (LA-WEB, 2005)

Transcoding Evaluation in Live Video Adaptation. - Marcelo G. Manzato; Rudinei Goularte (LA-WEB, 2006)

Live video adaptation: a context-aware approach. - Marcelo G. Manzato; Rudinei Goularte (WebMedia, 2006)

Video news classification for automatic content personalization: a genetic algorithm based approach. - Marcelo Garcia Manzato; Rudinei Goularte (WebMedia, 2008)

Interactive news documents for digital television. - Marcelo G. Manzato; Daniel Carnio Junqueira; Rudinei Goularte (WebMedia (Companion), 2008)

Multimedia content personalization based on peer-level annotation. - Marcelo G. Manzato; Danilo Barbosa Coimbra; Rudinei Goularte (EuroITV, 2009)

Supporting multimedia recommender systems with peer-level annotations. - Marcelo G. Manzato; Rudinei Goularte (WebMedia, 2009)

Evaluation of video news classification techniques for automatic content personalisation. - Marcelo G. Manzato; Alessandra A. Macedo; Rudinei Goularte (Int. J. Adv. Media Commun., 2009)

Peersommender: A peer-level annotation based approach for multimedia recommendation. - Marcelo G. Manzato; Rudinei Goularte (J. Inf. Data Manag., 2010)

An enhanced content selection mechanism for personalization of video news programmes. - Marcelo G. Manzato; Danilo Barbosa Coimbra; Rudinei Goularte (Multim. Syst., 2011)

An architecture for content personalization based on peer-level annotations. - Marcelo Garcia Manzato (2011)

The participation of IntermidiaLab at the ImageCLEF 2012 Photo Annotation Task. - Marcelo G. Manzato (CLEF (Online Working Notes/Labs/Workshop), 2012)

Discovering latent factors from movies genres for enhanced recommendation. - Marcelo G. Manzato (RecSys, 2012)

A multimedia recommender system based on enriched user profiles. - Marcelo G. Manzato; Rudinei Goularte (SAC, 2012)

Accelerometers data interoperability: easing interactive applications development. - Jorge Rodrigues Carvalho; Marcelo Garcia Manzato; Rudinei Goularte (WebMedia, 2012)

Automatic annotation of tagged content using predefined semantic concepts. - Marcelo Garcia Manzato; Rudinei Goularte (WebMedia, 2012)

gSVD++: supporting implicit feedback on recommender systems with metadata awareness. - Marcelo Garcia Manzato (SAC, 2013)

Hybrid recommenders: incorporating metadata awareness into latent factor models. - Edson B. Santos Junior; Marcelo G. Manzato; Rudinei Goularte (WebMedia, 2013)

A conceptual architecture with trust consensus to enhance group recommendations. - Edson B. Santos Junior; Marcelo G. Manzato; Rudinei Goularte (ICIS, 2014)

Evaluating the Combination of Multiple Metadata Types in Movies Recommendation. - Renato Dompieri Beltrao; Bruno Souza Cabral; Marcelo Garcia Manzato; Frederico Araújo Durão (BRACIS, 2014)

A Collaborative Filtering Approach Based on User's Reviews. - Rafael Martins D'Addio; Marcelo Garcia Manzato (BRACIS, 2014)

Multimodal Interactions in Recommender Systems: An Ensembling Approach. - Arthur da Costa Fortes; Marcelo Garcia Manzato (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)

Personalized collaborative filtering: a neighborhood model based on contextual constraints. - Edson B. Santos Junior; Rudinei Goularte; Marcelo G. Manzato (SAC, 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)

Combining Multiple Metadata Types in Movies Recommendation Using Ensemble Algorithms. - Bruno Souza Cabral; Renato Dompieri Beltrao; Marcelo Garcia Manzato; Frederico Araújo Durão (WebMedia, 2014)

Generating Recommendations Based on Robust Term Extraction from Users' Reviews. - Rafael Martins D'Addio; Merley Conrado; Solange O. Rezende; Marcelo Garcia Manzato (WebMedia, 2014)

Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization. - Arthur da Costa Fortes; Marcelo Garcia Manzato (WebMedia, 2014)

Introducing the concept of "always-welcome recommendations". - Edson B. dos Santos; Arthur F. Da Costa; Rafael Martins D'Addio; Marcelo Garcia Manzato; Rudinei Goularte (ICIS, 2015)

A sentiment-based item description approach for kNN collaborative filtering. - Rafael Martins D'Addio; Marcelo G. Manzato (SAC, 2015)

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)

Collaborative Filtering Based on Semantic Distance Among Items. - Salmo M. S. Júnior; Marcelo G. Manzato (WebMedia, 2015)

Leveraging Hybrid Recommenders with Multifaceted Implicit Feedback. - Marcelo G. Manzato; Edson B. Santos Junior; Rudinei Goularte (J. Univers. Comput. Sci., 2015)

Exploiting different users' interactions for profiles enrichment in recommender systems. - Arthur F. Da Costa; Rafael D. Martins; Marcelo G. Manzato; Ricardo J. G. B. Campello (SAC, 2016)

Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (WebMedia, 2016)

Exploiting Item Representations for Soft Clustering Recommendation. - Rafael Martins D'Addio; Marcelo G. Manzato (WebMedia, 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 multimodal interactions in recommender systems with ensemble algorithms. - Arthur F. Da Costa; Marcelo G. Manzato (Inf. Syst., 2016)

Face Classification using a New Local Texture Descriptor. - Carolina Toledo Ferraz; Marcelo Garcia Manzato; Adilson Gonzaga (WebMedia, 2017)

Semantic Organization of User's Reviews Applied in Recommender Systems. - Ronnie S. Marinho; Rafael Martins D'Addio; Marcelo G. Manzato (WebMedia, 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)

Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (J. Inf. Data Manag., 2017)

Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems. - Eduardo Pereira Fressato; Arthur Fortes da Costa; Marcelo Garcia Manzato (BRACIS, 2018)

Case recommender: a flexible and extensible python framework for recommender systems. - Arthur F. Da Costa; Eduardo P. Fressato; Fernando Soares de Aguiar Neto; Marcelo G. Manzato; Ricardo J. G. B. Campello (RecSys, 2018)

CoRec: a co-training approach for recommender systems. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (SAC, 2018)

Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. - Frederico Araújo Durão; Bruno Souza Cabral; Marcelo G. Manzato; Arthur F. Da Costa (SEKE, 2018)

Incorporating Semantic Item Representations to Soften the Cold Start Problem. - Rafael Martins D'Addio; Eduardo P. Fressato; Arthur F. Da Costa; Marcelo G. Manzato (WebMedia, 2018)

CoBaR: Confidence-Based Recommender. - Fernando Soares de Aguiar Neto; Arthur F. Da Costa; Marcelo G. Manzato (CoRR, 2018)

A personalized clustering-based approach using open linked data for search space reduction in recommender systems. - Arthur F. Da Costa; Rafael Martins D'Addio; Eduardo P. Fressato; Marcelo G. Manzato (WebMedia, 2019)

Boosting collaborative filtering with an ensemble of co-trained recommenders. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (Expert Syst. Appl., 2019)

Combining different metadata views for better recommendation accuracy. - Rafael Martins D'Addio; Ronnie S. Marinho; Marcelo G. Manzato (Inf. Syst., 2019)

WordRecommender: An Explainable Content-Based Algorithm based on Sentiment Analysis and Semantic Similarity. - André L. Zanon; Luan Souza; Diany Pressato; Marcelo G. Manzato (WebMedia, 2020)

Pre-processing approaches for collaborative filtering based on hierarchical clustering. - Fernando Soares de Aguiar Neto; Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (Inf. Sci., 2020)

An Interpretable Recommendation Model for Gerontological Care. - Andre Paulino de Lima; Laurentino Augusto Dantas; Marcelo Garcia Manzato; Maria da Graça Campos Pimentel; Brunela Della Maggiori Orlandi; Paula Castro (RecSys, 2021)

Exploiting personalized calibration and metrics for fairness recommendation. - Diego Corrêa da Silva; Marcelo Garcia Manzato; Frederico Araújo Durão (Expert Syst. Appl., 2021)

A comparison among keyframe extraction techniques for CNN classification based on video periocular images. - Carolina Toledo Ferraz; William Barcellos; Osmando Pereira Junior; Tamiris Trevisan Negri Borges; Marcelo Garcia Manzato; Adilson Gonzaga; José Hiroki Saito (Multim. Tools Appl., 2021)

Empirical Studies Aimed at Understanding Conversational Recommender Systems and Accessibility Aspects. - Lucas Padilha Modesto de Araujo; Cynthya Letícia Teles de Oliveira; Kamila Rios da Hora Rodrigues; Marcelo Garcia Manzato (HCI (46), 2022)

Human-ChatBot Interaction: measuring the psychophysiological reactions of chatbot users. - Helen Santos Picoli; Cynthya Letícia Teles de Oliveira; Lucas Padilha M. De Oliveira; Marcelo G. Manzato; Kamila Rios da Hora Rodrigues (WebMedia, 2022)

Aspect-Based Summarization: An Approach With Different Levels of Details to Explain Recommendations. - Luan Soares de Souza; Marcelo Garcia Manzato (WebMedia, 2022)

A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. - André L. Zanon; Luan Souza; Diany Pressato; Marcelo Garcia Manzato (Expert Syst. J. Knowl. Eng., 2022)

Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data. - André L. Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (Knowl. Based Syst., 2022)

Extended recommendation-by-explanation. - Arpit Rana; Rafael Martins D'Addio; Marcelo G. Manzato; Derek Bridge 001 (User Model. User Adapt. Interact., 2022)

Counteracting Popularity-Bias and Improving Diversity Through Calibrated Recommendations. - Andre Sacilotti; Rodrigo Ferrari de Souza; Marcelo G. Manzato (ICEIS (1), 2023)

Enhancing Calibration and Reducing Popularity Bias in Recommender Systems. - Rodrigo Ferrari de Souza; Marcelo Garcia Manzato (ICEIS (Revised Selected Papers 2), 2023)

A User Study on Explanations with Different Levels of Detail in Recommender Systems. - Luan Soares de Souza; Marcelo Garcia Manzato (WebMedia, 2023)

Offline Metrics for Evaluating Explanation Goals in Recommender Systems. - André Levi Zanon; Marcelo Garcia Manzato; Leonardo Rocha 001 (CoRR, 2023)

User Perception of Fairness-Calibrated Recommendations. - Gabrielle Alves; Dietmar Jannach; Rodrigo Ferrari de Souza; Marcelo Garcia Manzato (UMAP, 2024)

Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems. - André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (xAI (2), 2024)

Digitally nudging users to explore off-profile recommendations: here be dragons. - Gabrielle Alves; Dietmar Jannach; Rodrigo Ferrari de Souza; Daniela E. Damian; Marcelo Garcia Manzato (User Model. User Adapt. Interact., 2024)

Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments. - Paul Dany Flores Atauchi; André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (J. Interact. Syst., 2025)