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2020 – today
- 2024
[j17]Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Daniela E. Damian, Marcelo Garcia Manzato:
Digitally nudging users to explore off-profile recommendations: here be dragons. User Model. User Adapt. Interact. 34(2): 441-481 (2024)- [c51]Gabrielle Alves
, Dietmar Jannach, Rodrigo Ferrari de Souza, Marcelo Garcia Manzato:
User Perception of Fairness-Calibrated Recommendations. UMAP 2024: 78-88 - [c50]André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato:
Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems. xAI (2) 2024: 3-27 - 2023
- [c49]Andre Sacilotti, Rodrigo Ferrari de Souza, Marcelo G. Manzato:
Counteracting Popularity-Bias and Improving Diversity Through Calibrated Recommendations. ICEIS (1) 2023: 709-720 - [c48]Luan Soares de Souza, Marcelo Garcia Manzato:
A User Study on Explanations with Different Levels of Detail in Recommender Systems. WebMedia 2023: 208-212 - [i2]André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha:
Offline Metrics for Evaluating Explanation Goals in Recommender Systems. CoRR abs/2310.14379 (2023) - 2022
- [j16]André L. Zanon, Luan Souza, Diany Pressato, Marcelo Garcia Manzato:
A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Syst. J. Knowl. Eng. 39(8) (2022) - [j15]André L. Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato:
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data. Knowl. Based Syst. 252: 109333 (2022) - [j14]Arpit Rana, Rafael Martins D'Addio, Marcelo G. Manzato, Derek Bridge:
Extended recommendation-by-explanation. User Model. User Adapt. Interact. 32(1-2): 91-131 (2022) - [c47]Lucas Padilha Modesto de Araujo, Cynthya Letícia Teles de Oliveira, Kamila Rios da Hora Rodrigues, Marcelo Garcia Manzato:
Empirical Studies Aimed at Understanding Conversational Recommender Systems and Accessibility Aspects. HCI (46) 2022: 462-478 - [c46]Luan Soares de Souza, Marcelo Garcia Manzato:
Aspect-Based Summarization: An Approach With Different Levels of Details to Explain Recommendations. WebMedia 2022: 202-210 - [c45]Helen Santos Picoli, Cynthya Letícia Teles de Oliveira, Lucas Padilha M. De Oliveira, Marcelo G. Manzato, Kamila Rios da Hora Rodrigues:
Human-ChatBot Interaction: measuring the psychophysiological reactions of chatbot users. WebMedia 2022: 377-380 - 2021
- [j13]Diego Corrêa da Silva, Marcelo Garcia Manzato, Frederico Araújo Durão:
Exploiting personalized calibration and metrics for fairness recommendation. Expert Syst. Appl. 181: 115112 (2021) - [j12]Carolina Toledo Ferraz, William Barcellos, Osmando Pereira Junior, Tamiris Trevisan Negri Borges, Marcelo Garcia Manzato, Adilson Gonzaga, José Hiroki Saito:
A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multim. Tools Appl. 80(8): 12843-12856 (2021) - [c44]Andre Paulino de Lima, Laurentino Augusto Dantas, Marcelo Garcia Manzato, Maria da Graça Campos Pimentel, Brunela Della Maggiori Orlandi, Paula Castro:
An Interpretable Recommendation Model for Gerontological Care. RecSys 2021: 620-626 - 2020
- [j11]Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Pre-processing approaches for collaborative filtering based on hierarchical clustering. Inf. Sci. 534: 172-191 (2020) - [c43]André L. Zanon, Luan Souza, Diany Pressato, Marcelo G. Manzato:
WordRecommender: An Explainable Content-Based Algorithm based on Sentiment Analysis and Semantic Similarity. WebMedia 2020: 181-184
2010 – 2019
- 2019
- [j10]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Syst. Appl. 115: 427-441 (2019) - [j9]Rafael Martins D'Addio, Ronnie S. Marinho, Marcelo G. Manzato:
Combining different metadata views for better recommendation accuracy. Inf. Syst. 83: 1-12 (2019) - [c42]Arthur F. Da Costa, Rafael Martins D'Addio, Eduardo P. Fressato, Marcelo G. Manzato:
A personalized clustering-based approach using open linked data for search space reduction in recommender systems. WebMedia 2019: 409-416 - 2018
- [c41]Eduardo Pereira Fressato, Arthur Fortes da Costa, Marcelo Garcia Manzato:
Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems. BRACIS 2018: 342-347 - [c40]Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Case recommender: a flexible and extensible python framework for recommender systems. RecSys 2018: 494-495 - [c39]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
CoRec: a co-training approach for recommender systems. SAC 2018: 696-703 - [c38]Frederico Araújo Durão, Bruno Souza Cabral, Marcelo G. Manzato, Arthur F. Da Costa:
Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. SEKE 2018: 697-696 - [c37]Rafael Martins D'Addio, Eduardo P. Fressato, Arthur F. Da Costa, Marcelo G. Manzato:
Incorporating Semantic Item Representations to Soften the Cold Start Problem. WebMedia 2018: 157-164 - [i1]Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato:
CoBaR: Confidence-Based Recommender. CoRR abs/1808.07089 (2018) - 2017
- [j8]Rafael Martins D'Addio, Marcos Aurélio Domingues, Marcelo G. Manzato:
Exploiting feature extraction techniques on users' reviews for movies recommendation. J. Braz. Comput. Soc. 23(1): 7:1-7:16 (2017) - [j7]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. J. Inf. Data Manag. 8(3): 180-196 (2017) - [c36]Carolina Toledo Ferraz, Marcelo Garcia Manzato, Adilson Gonzaga:
Face Classification using a New Local Texture Descriptor. WebMedia 2017: 237-240 - [c35]Ronnie S. Marinho, Rafael Martins D'Addio, Marcelo G. Manzato:
Semantic Organization of User's Reviews Applied in Recommender Systems. WebMedia 2017: 277-280 - 2016
- [j6]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:
Mining unstructured content for recommender systems: an ensemble approach. Inf. Retr. J. 19(4): 378-415 (2016) - [j5]Arthur F. Da Costa, Marcelo G. Manzato:
Exploiting multimodal interactions in recommender systems with ensemble algorithms. Inf. Syst. 56: 120-132 (2016) - [c34]Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Exploiting different users' interactions for profiles enrichment in recommender systems. SAC 2016: 1080-1082 - [c33]Rafael Martins D'Addio, Marcelo G. Manzato:
Exploiting Item Representations for Soft Clustering Recommendation. WebMedia 2016: 271-278 - [c32]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. WebMedia 2016: 279-286 - 2015
- [j4]Marcelo G. Manzato, Edson B. Santos Junior, Rudinei Goularte:
Leveraging Hybrid Recommenders with Multifaceted Implicit Feedback. J. Univers. Comput. Sci. 21(2): 223-247 (2015) - [c31]Edson B. dos Santos, Arthur F. Da Costa, Rafael Martins D'Addio, Marcelo Garcia Manzato, Rudinei Goularte:
Introducing the concept of "always-welcome recommendations". ICIS 2015: 197-202 - [c30]Rafael Martins D'Addio, Marcelo G. Manzato:
A sentiment-based item description approach for kNN collaborative filtering. SAC 2015: 1060-1065 - [c29]Marcos Aurélio Domingues, Camila Vaccari Sundermann, Flávio M. M. Barros, Marcelo G. Manzato, Maria G. C. Pimentel, Solange Oliveira Rezende:
Applying multi-view based metadata in personalized ranking for recommender systems. SAC 2015: 1105-1107 - [c28]Salmo M. S. Júnior, Marcelo G. Manzato:
Collaborative Filtering Based on Semantic Distance Among Items. WebMedia 2015: 53-56 - 2014
- [c27]Edson B. Santos Junior, Marcelo G. Manzato, Rudinei Goularte:
A conceptual architecture with trust consensus to enhance group recommendations. ICIS 2014: 137-142 - [c26]Renato Dompieri Beltrao, Bruno Souza Cabral, Marcelo Garcia Manzato, Frederico Araújo Durão:
Evaluating the Combination of Multiple Metadata Types in Movies Recommendation. BRACIS 2014: 55-60 - [c25]Arthur da Costa Fortes, Marcelo Garcia Manzato:
Multimodal Interactions in Recommender Systems: An Ensembling Approach. BRACIS 2014: 67-72 - [c24]Rafael Martins D'Addio, Marcelo Garcia Manzato:
A Collaborative Filtering Approach Based on User's Reviews. BRACIS 2014: 204-209 - [c23]Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende:
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. ICPR 2014: 3606-3611 - [c22]Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. ICPR 2014: 3696-3701 - [c21]Edson B. Santos Junior, Rudinei Goularte, Marcelo G. Manzato:
Personalized collaborative filtering: a neighborhood model based on contextual constraints. SAC 2014: 919-924 - [c20]Marcelo G. Manzato, Marcos Aurélio Domingues, Solange Oliveira Rezende:
Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. WI-IAT (2) 2014: 191-197 - [c19]Arthur F. Da Costa, Marcos Aurélio Domingues, Solange Oliveira Rezende, Marcelo G. Manzato:
Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. WI-IAT (2) 2014: 198-204 - [c18]Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende:
Exploiting Text Mining Techniques for Contextual Recommendations. WI-IAT (1) 2014: 210-217 - [c17]Arthur da Costa Fortes, Marcelo Garcia Manzato:
Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization. WebMedia 2014: 47-54 - [c16]Rafael Martins D'Addio, Merley Conrado, Solange O. Rezende, Marcelo Garcia Manzato:
Generating Recommendations Based on Robust Term Extraction from Users' Reviews. WebMedia 2014: 55-58 - [c15]Bruno Souza Cabral, Renato Dompieri Beltrao, Marcelo Garcia Manzato, Frederico Araújo Durão:
Combining Multiple Metadata Types in Movies Recommendation Using Ensemble Algorithms. WebMedia 2014: 231-238 - 2013
- [c14]Marcelo Garcia Manzato:
gSVD++: supporting implicit feedback on recommender systems with metadata awareness. SAC 2013: 908-913 - [c13]Edson B. Santos Junior, Marcelo G. Manzato, Rudinei Goularte:
Hybrid recommenders: incorporating metadata awareness into latent factor models. WebMedia 2013: 317-324 - 2012
- [c12]Marcelo G. Manzato:
The participation of IntermidiaLab at the ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c11]Marcelo G. Manzato:
Discovering latent factors from movies genres for enhanced recommendation. RecSys 2012: 249-252 - [c10]Marcelo G. Manzato, Rudinei Goularte:
A multimedia recommender system based on enriched user profiles. SAC 2012: 975-980 - [c9]Marcelo Garcia Manzato, Rudinei Goularte:
Automatic annotation of tagged content using predefined semantic concepts. WebMedia 2012: 237-244 - [c8]Jorge Rodrigues Carvalho, Marcelo Garcia Manzato, Rudinei Goularte:
Accelerometers data interoperability: easing interactive applications development. WebMedia 2012: 305-312 - 2011
- [b1]Marcelo Garcia Manzato:
An architecture for content personalization based on peer-level annotations. University of São Paulo, Brazil, 2011 - [j3]Marcelo G. Manzato, Danilo Barbosa Coimbra, Rudinei Goularte:
An enhanced content selection mechanism for personalization of video news programmes. Multim. Syst. 17(1): 19-34 (2011) - 2010
- [j2]Marcelo G. Manzato, Rudinei Goularte:
Peersommender: A peer-level annotation based approach for multimedia recommendation. J. Inf. Data Manag. 1(2): 277-292 (2010)
2000 – 2009
- 2009
- [j1]Marcelo G. Manzato, Alessandra A. Macedo, Rudinei Goularte:
Evaluation of video news classification techniques for automatic content personalisation. Int. J. Adv. Media Commun. 3(4): 383-403 (2009) - [c7]Marcelo G. Manzato, Danilo Barbosa Coimbra, Rudinei Goularte:
Multimedia content personalization based on peer-level annotation. EuroITV 2009: 57-66 - [c6]Marcelo G. Manzato, Rudinei Goularte:
Supporting multimedia recommender systems with peer-level annotations. WebMedia 2009: 26 - 2008
- [c5]Marcelo G. Manzato, Daniel Carnio Junqueira, Rudinei Goularte:
Interactive news documents for digital television. WebMedia (Companion) 2008: 1-4 - [c4]Marcelo Garcia Manzato, Rudinei Goularte:
Video news classification for automatic content personalization: a genetic algorithm based approach. WebMedia 2008: 36-43 - 2006
- [c3]Marcelo G. Manzato, Rudinei Goularte:
Transcoding Evaluation in Live Video Adaptation. LA-WEB 2006: 203-208 - [c2]Marcelo G. Manzato, Rudinei Goularte:
Live video adaptation: a context-aware approach. WebMedia 2006: 1-8 - 2005
- [c1]Robson Eisinger, Marcelo G. Manzato, Rudinei Goularte:
Devices Descriptions for Context-Based Content Adaptation. LA-WEB 2005: 121-129
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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