Marcelo G. Manzato

43 papers A 2C 2Misc 7Journal 13Unranked 19

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	A Two-Stage Calibration Approach for Mitigating Bias and Fairness in Recommender Systems. SAC Rodrigo Souza, Marcelo G. Manzato
2023	—	`conf`	Counteracting Popularity-Bias and Improving Diversity Through Calibrated Recommendations. ICEIS (1) Andre Sacilotti, Rodrigo Ferrari de Souza, Marcelo G. Manzato
2022	J	`jnl`	Extended recommendation-by-explanation. User Model. User Adapt. Interact. Arpit Rana, Rafael Martins D'Addio, Marcelo G. Manzato, Derek Bridge
2022	—	`conf`	Human-ChatBot Interaction: measuring the psychophysiological reactions of chatbot users. WebMedia Helen Santos Picoli, Cynthya Letícia Teles de Oliveira, Lucas Padilha M. De Oliveira, Marcelo G. Manzato, Kamila Rios da Hora Rodrigues
2020	J	`jnl`	Pre-processing approaches for collaborative filtering based on hierarchical clustering. Inf. Sci. Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2020	—	`conf`	WordRecommender: An Explainable Content-Based Algorithm based on Sentiment Analysis and Semantic Similarity. WebMedia André L. Zanon, Luan Souza, Diany Pressato, Marcelo G. Manzato
2019	—	`conf`	A personalized clustering-based approach using open linked data for search space reduction in recommender systems. WebMedia Arthur F. Da Costa, Rafael Martins D'Addio, Eduardo P. Fressato, Marcelo G. Manzato
2019	J	`jnl`	Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Syst. Appl. Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2019	J	`jnl`	Combining different metadata views for better recommendation accuracy. Inf. Syst. Rafael Martins D'Addio, Ronnie S. Marinho, Marcelo G. Manzato
2018	A	`conf`	Case recommender: a flexible and extensible python framework for recommender systems. RecSys Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello
2018	J	`jnl`	CoBaR: Confidence-Based Recommender. CoRR Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato
2018	Misc	`conf`	CoRec: a co-training approach for recommender systems. SAC Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2018	C	`conf`	Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. SEKE Frederico Araújo Durão, Bruno Souza Cabral, Marcelo G. Manzato, Arthur F. Da Costa
2018	—	`conf`	Incorporating Semantic Item Representations to Soften the Cold Start Problem. WebMedia Rafael Martins D'Addio, Eduardo P. Fressato, Arthur F. Da Costa, Marcelo G. Manzato
2017	J	`jnl`	Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. J. Inf. Data Manag. Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2017	J	`jnl`	Exploiting feature extraction techniques on users' reviews for movies recommendation. J. Braz. Comput. Soc. Rafael Martins D'Addio, Marcos Aurélio Domingues, Marcelo G. Manzato
2017	—	`conf`	Semantic Organization of User's Reviews Applied in Recommender Systems. WebMedia Ronnie S. Marinho, Rafael Martins D'Addio, Marcelo G. Manzato
2016	—	`conf`	Exploiting Item Representations for Soft Clustering Recommendation. WebMedia Rafael Martins D'Addio, Marcelo G. Manzato
2016	Misc	`conf`	Exploiting different users' interactions for profiles enrichment in recommender systems. SAC Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello
2016	J	`jnl`	Exploiting multimodal interactions in recommender systems with ensemble algorithms. Inf. Syst. Arthur F. Da Costa, Marcelo G. Manzato
2016	—	`conf`	Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. WebMedia Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2016	J	`jnl`	Mining unstructured content for recommender systems: an ensemble approach. Inf. Retr. J. 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
2015	Misc	`conf`	A sentiment-based item description approach for kNN collaborative filtering. SAC Rafael Martins D'Addio, Marcelo G. Manzato
2015	Misc	`conf`	Applying multi-view based metadata in personalized ranking for recommender systems. SAC Marcos Aurélio Domingues, Camila Vaccari Sundermann, Flávio M. M. Barros, Marcelo G. Manzato, Maria G. C. Pimentel, Solange Oliveira Rezende
2015	—	`conf`	Collaborative Filtering Based on Semantic Distance Among Items. WebMedia Salmo M. S. Júnior, Marcelo G. Manzato
2015	J	`jnl`	Leveraging Hybrid Recommenders with Multifaceted Implicit Feedback. J. Univers. Comput. Sci. Marcelo G. Manzato, Edson B. Santos Junior, Rudinei Goularte
2014	C	`conf`	A conceptual architecture with trust consensus to enhance group recommendations. ICIS Edson B. Santos Junior, Marcelo G. Manzato, Rudinei Goularte
2014	—	`conf`	Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. WI-IAT (2) Arthur F. Da Costa, Marcos Aurélio Domingues, Solange Oliveira Rezende, Marcelo G. Manzato
2014	—	`conf`	Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. WI-IAT (2) Marcelo G. Manzato, Marcos Aurélio Domingues, Solange Oliveira Rezende
2014	Misc	`conf`	Personalized collaborative filtering: a neighborhood model based on contextual constraints. SAC Edson B. Santos Junior, Rudinei Goularte, Marcelo G. Manzato
2013	—	`conf`	Hybrid recommenders: incorporating metadata awareness into latent factor models. WebMedia Edson B. Santos Junior, Marcelo G. Manzato, Rudinei Goularte
2012	Misc	`conf`	A multimedia recommender system based on enriched user profiles. SAC Marcelo G. Manzato, Rudinei Goularte
2012	A	`conf`	Discovering latent factors from movies genres for enhanced recommendation. RecSys Marcelo G. Manzato
2012	—	`conf`	The participation of IntermidiaLab at the ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) Marcelo G. Manzato
2011	J	`jnl`	An enhanced content selection mechanism for personalization of video news programmes. Multim. Syst. Marcelo G. Manzato, Danilo Barbosa Coimbra, Rudinei Goularte
2010	J	`jnl`	Peersommender: A peer-level annotation based approach for multimedia recommendation. J. Inf. Data Manag. Marcelo G. Manzato, Rudinei Goularte
2009	J	`jnl`	Evaluation of video news classification techniques for automatic content personalisation. Int. J. Adv. Media Commun. Marcelo G. Manzato, Alessandra A. Macedo, Rudinei Goularte
2009	—	`conf`	Multimedia content personalization based on peer-level annotation. EuroITV Marcelo G. Manzato, Danilo Barbosa Coimbra, Rudinei Goularte
2009	—	`conf`	Supporting multimedia recommender systems with peer-level annotations. WebMedia Marcelo G. Manzato, Rudinei Goularte
2008	—	`conf`	Interactive news documents for digital television. WebMedia (Companion) Marcelo G. Manzato, Daniel Carnio Junqueira, Rudinei Goularte
2006	—	`conf`	Live video adaptation: a context-aware approach. WebMedia Marcelo G. Manzato, Rudinei Goularte
2006	—	`conf`	Transcoding Evaluation in Live Video Adaptation. LA-WEB Marcelo G. Manzato, Rudinei Goularte
2005	—	`conf`	Devices Descriptions for Context-Based Content Adaptation. LA-WEB Robson Eisinger, Marcelo G. Manzato, Rudinei Goularte