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2020 – today
- 2023
[j7]Nícollas Silva
, Thiago Silva, Heitor Werneck, Leonardo Rocha, Adriano C. M. Pereira:
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. Trans. Recomm. Syst. 1(1): 1-24 (2023)- [c24]Yan Andrade, Nícollas Campos Silva, Adriano C. M. Pereira, Elisa Tuler, Cleverson Vieira, Marcelo de Paiva Guimarães, Diego Dias, Leonardo Rocha:
Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks. ICCSA (1) 2023: 635-647 - [c23]Nícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha:
Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. SIGIR 2023: 1178-1187 - [c22]Yan Andrade, Nícollas Silva, Thiago Silva, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Elisa Tuler de Albergaria, Leonardo Rocha:
A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems. WebMedia 2023: 193-197 - [c21]Guilherme Bittencourt, Guilherme Fonseca, Yan Andrade, Nícollas Silva, Leonardo Rocha:
A Survey on Review - Aware Recommendation Systems. WebMedia 2023: 198-207 - 2022
- [j6]Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha:
Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. Expert Syst. Appl. 197: 116669 (2022) - [j5]Heitor Werneck, Nícollas Silva, Adriano C. M. Pereira, Matheus Carvalho Viana, Alejandro Bellogín, Jorge Martínez Gil, Fernando Mourão, Leonardo Rocha:
A reproducible POI recommendation framework: Works mapping and benchmark evaluation. Inf. Syst. 108: 102019 (2022) - [c20]Heitor Werneck, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Elisa Tuler, Diego Dias, Leonardo Rocha:
A Stacking Recommender System Based on Contextual Information for Fashion Retails. ICCSA (1) 2022: 560-574 - [c19]Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha:
iRec: An Interactive Recommendation Framework. SIGIR 2022: 3165-3175 - [c18]Thiago Silva, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha:
Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario. WebMedia 2022: 211-221 - [c17]Heitor Werneck, Nícollas Campos Silva, Carlos Masao Mito, Adriano César Machado Pereira, Diego Roberto Colombo Dias, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha:
Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains. WebMedia 2022: 222-229 - 2021
- [j4]Heitor Werneck, Rodrigo Santos, Nícollas Silva, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
Effective and diverse POI recommendations through complementary diversification models. Expert Syst. Appl. 175: 114775 (2021) - [j3]Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
Points of Interest recommendations: Methods, evaluation, and future directions. Inf. Syst. 101: 101789 (2021) - [c16]Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha:
A contextual approach to improve the user's experience in interactive recommendation systems. WebMedia 2021: 89-96 - 2020
- [c15]Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Leonardo Rocha:
How to Improve the Recommendation's Accuracy in POI Domains? ICCSA (1) 2020: 557-571 - [c14]Júlio Resende, Vinicius H. S. Durelli, Igor Campos Moraes, Nícollas Silva, Diego Roberto Colombo Dias, Leonardo Rocha:
An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not? ICCSA (1) 2020: 572-585 - [c13]Thiago Silva, Nícollas Silva, Heitor Werneck, Adriano C. M. Pereira, Leonardo Rocha:
The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning. WebMedia 2020: 173-180 - [c12]Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha:
A Survey on Point-of-Interest Recommendation in Location-based Social Networks. WebMedia 2020: 185-192 - [c11]Heitor Werneck, Nícollas Silva, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha:
Combining complementary diversification models for personalized POI recommendations. WebMedia 2020: 209-212
2010 – 2019
- 2019
- [j2]Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. Inf. Syst. 80: 1-12 (2019) - [c10]Diego Carvalho, Nícollas Silva, Tiago Trotta, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. CEC 2019: 2183-2190 - [c9]Michel Pires, Nícollas Silva, Leonardo Rocha, Wagner Meira Jr., Renato Ferreira:
Efficient Parallel Associative Classification Based on Rules Memoization. ICCS (4) 2019: 31-44 - [c8]Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog? ICCS (1) 2019: 323-338 - [c7]Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha:
A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services. WebMedia 2019: 45-52 - [c6]Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Leonardo Rocha:
Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems. WebMedia 2019: 341-348 - [c5]Rodrigo Carvalho, Nícollas Silva, Luiz Chaves, Adriano C. M. Pereira, Leonardo Rocha:
Geographic-categorical diversification in POI recommendations. WebMedia 2019: 349-356 - 2018
- [c4]Diego Carvalho, Nícollas Silva, Thiago Silveira, Fernando Mourão, Adriano C. M. Pereira, Diego Dias, Leonardo Rocha:
FAiR: A Framework for Analyses and Evaluations on Recommender Systems. ICCSA (3) 2018: 383-397 - [c3]Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha:
Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services. WebMedia 2018: 229-232 - 2017
- [j1]Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
Non-personalized Movie Recommendation by Maximum k-Coverage. J. Inf. Data Manag. 8(2): 102-116 (2017) - [c2]Diego Carvalho, Nícollas Silva, Adriano C. M. Pereira, Leonardo Rocha:
Characterizing User Behavior and Items in Multimedia Streaming Services. WebMedia 2017: 85-88 - [c1]Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains. WebMedia 2017: 333-340
Coauthor Index
aka: Adriano César Machado Pereira
aka: Leonardo Chaves Dutra da Rocha
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