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Refinado por: autor: Manzato, M remover
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1
Similarity-based matrix factorization for item cold-start in recommender systems
Similarity-based matrix factorization for item cold-start in recommender systems
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Similarity-based matrix factorization for item cold-start in recommender systems

Eduardo P Fressato Arthur F. da Costa; Marcelo Garcia Manzato; Brazilian Conference on Intelligent Systems - BRACIS (7. 2018 São Paulo)

Proceedings Piscataway : IEEE, 2018

Piscataway IEEE 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2917599 )(Acessar)

2
Case recommender a flexible and extensible Python framework for recommender systems
Case recommender a flexible and extensible Python framework for recommender systems
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Case recommender a flexible and extensible Python framework for recommender systems

Arthur da Costa Eduardo Fressato; Fernando Neto; Marcelo Garcia Manzato; Ricardo José Gabrielli Barreto Campello; ACM Conference on Recommender Systems - RecSys (12. 2018 Vancouver)

Proceedings New York : ACM, 2018

New York ACM 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2905288 )(Acessar)

3
Exploring temporal contexts for neighborhood-based models in session-based recommender systems
Exploring temporal contexts for neighborhood-based models in session-based recommender systems
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Exploring temporal contexts for neighborhood-based models in session-based recommender systems

Gabriel Baltazar Domingos Igor Lovatto; Matheus Takata; Marcelo Garcia Manzato; Simpósio Brasileiro de Sistemas Multimídia e Web - WebMedia (25. 2019 Rio de Janeiro); Workshop de Trabalhos de Iniciação Científica - WTIC (16. 2019 Rio de Janeiro)

Anais estendidos Porto Alegre : SBC, 2019

Porto Alegre SBC 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2968632 )(Acessar)

4
Exploiting personalized calibration and metrics for fairness recommendation
Exploiting personalized calibration and metrics for fairness recommendation
Material Type:
Artigo 		Adicionar ao Meu Espaço

Exploiting personalized calibration and metrics for fairness recommendation

Diego Corrêa da Silva Marcelo Garcia Manzato; Frederico Araujo Durão

Expert Systems with Applications Kidlington v. 181, p. 1-20, Nov. 2021

Kidlington 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3028623 )(Acessar)

5
Extended recommendation-by-explanation
Extended recommendation-by-explanation
Material Type:
Artigo 		Adicionar ao Meu Espaço

Extended recommendation-by-explanation

Arplt Rana Rafael Martins D'Addio; Marcelo Garcia Manzato; Derek Bridge

User Modeling and User-Adapted Interaction Amsterdam v. 32, n. 1-2, p. 91-131, Apr. 2022

Amsterdam 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3067456 )(Acessar)

6
Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users
Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Human-ChatBot interaction measuring the psychophysiological reactions of chatbot users

Helen Santos Picoli Cynthya Letícia Teles de Oliveira; Lucas Padilha Modesto de Araujo; Marcelo Garcia Manzato; Kamila Rios da Hora Rodrigues; Brazilian Symposium on Multimedia and the Web - WebMedia (28. 2022 Curitiba)

Proceedings New York : ACM, 2022

New York ACM 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3105462 )(Acessar)

7
CoRec a co-training approach for recommender systems
CoRec a co-training approach for recommender systems
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

CoRec a co-training approach for recommender systems

Arthur F. da Costa Marcelo Garcia Manzato; Ricardo José Gabrielli Barreto Campello; Symposium on Applied Computing - SAC (33. 2018 Pau)

Proceedings New York : ACM, 2018

New York ACM 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2891707 )(Acessar)

8
Evaluating multiple user interactions for ranking personalization using ensemble methods
Evaluating multiple user interactions for ranking personalization using ensemble methods
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Evaluating multiple user interactions for ranking personalization using ensemble methods

Frederico Araujo Durão Bruno Souza Cabral; Renato D Beltrão; Marcelo Garcia Manzato; International Conference on Software Engineering & Knowledge Engineering- SEKE (30. 2018 Redwood City)

Proceedings Pittsburgh : KSI Research Inc. and Knowledge Systems Institute Graduate School, 2018

Pittsburgh KSI Research Inc. and Knowledge Systems Institute Graduate School 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2893235 )(Acessar)

9
Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback
Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback
Material Type:
Artigo 		Adicionar ao Meu Espaço

Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback

Arthur F. da Costa Marcelo Garcia Manzato; Ricardo José Gabrielli Barreto Campello

Journal of Information and Data Management - JIDM Porto Alegre : SBC v. 8, n. 3, p. 180-196, Dec. 2017

Porto Alegre 2017

Acesso online. A biblioteca também possui exemplares impressos.

10
Exploiting item representations for soft clustering recommendation
Exploiting item representations for soft clustering recommendation
Material Type:
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Exploiting item representations for soft clustering recommendation

Rafael M D'Addio Marcelo Garcia Manzato; Brazilian Symposium on Multimedia and the Web - WebMedia (22. 2016 Teresina)

Proceedings New York : ACM, 2016

New York ACM 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2789584 )(Acessar)

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