Nícollas Silva

30 papers A* 2B 1Journal 8Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions. ACM Comput. Surv. Guilherme Bittencourt, Naan Vasconcelos, Yan Andrade, Nícollas Silva, Washington Cunha, Diego Roberto Colombo Dias, Marcos André Gonçalves, Leonardo Rocha
2023	—	`conf`	A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems. WebMedia Yan Andrade, Nícollas Silva, Thiago Silva, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Elisa Tuler de Albergaria, Leonardo Rocha
2023	—	`conf`	A Survey on Review - Aware Recommendation Systems. WebMedia Guilherme Bittencourt, Guilherme Fonseca, Yan Andrade, Nícollas Silva, Leonardo Rocha
2023	A*	`conf`	Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. SIGIR Nícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha
2023	J	`jnl`	User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. Trans. Recomm. Syst. Nícollas Silva, Thiago Silva, Heitor Werneck, Leonardo Rocha, Adriano C. M. Pereira
2022	—	`conf`	A Stacking Recommender System Based on Contextual Information for Fashion Retails. ICCSA (1) Heitor Werneck, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Elisa Tuler, Diego Dias, Leonardo Rocha
2022	J	`jnl`	A reproducible POI recommendation framework: Works mapping and benchmark evaluation. Inf. Syst. Heitor Werneck, Nícollas Silva, Adriano C. M. Pereira, Matheus Carvalho Viana, Alejandro Bellogín, Jorge Martinez-Gil, Fernando Mourão, Leonardo Rocha
2022	—	`conf`	Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario. WebMedia Thiago Silva, Nícollas Silva, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha
2022	J	`jnl`	Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. Expert Syst. Appl. Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha
2022	A*	`conf`	iRec: An Interactive Recommendation Framework. SIGIR Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha
2021	—	`conf`	A contextual approach to improve the user's experience in interactive recommendation systems. WebMedia Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C. M. Pereira, Leonardo Rocha
2021	J	`jnl`	Effective and diverse POI recommendations through complementary diversification models. Expert Syst. Appl. Heitor Werneck, Rodrigo Santos, Nícollas Silva, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2021	J	`jnl`	Points of Interest recommendations: Methods, evaluation, and future directions. Inf. Syst. Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2020	—	`conf`	A Survey on Point-of-Interest Recommendation in Location-based Social Networks. WebMedia Heitor Werneck, Nícollas Silva, Matheus Carvalho Viana, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha
2020	—	`conf`	An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not? ICCSA (1) Júlio Resende, Vinicius H. S. Durelli, Igor Campos Moraes, Nícollas Silva, Diego Roberto Colombo Dias, Leonardo Rocha
2020	—	`conf`	Combining complementary diversification models for personalized POI recommendations. WebMedia Heitor Werneck, Nícollas Silva, Fernando Mourão, Adriano C. M. Pereira, Leonardo Rocha
2020	—	`conf`	How to Improve the Recommendation's Accuracy in POI Domains? ICCSA (1) Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Leonardo Rocha
2020	—	`conf`	The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning. WebMedia Thiago Silva, Nícollas Silva, Heitor Werneck, Adriano C. M. Pereira, Leonardo Rocha
2019	B	`conf`	A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. CEC Diego Carvalho, Nícollas Silva, Tiago Trotta, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2019	—	`conf`	A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services. WebMedia Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha
2019	—	`conf`	Efficient Parallel Associative Classification Based on Rules Memoization. ICCS (4) Michel Pires, Nícollas Silva, Leonardo Rocha, Wagner Meira Jr., Renato Ferreira
2019	—	`conf`	Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems. WebMedia Luiz Chaves, Nícollas Silva, Rodrigo Carvalho, Adriano C. M. Pereira, Leonardo Rocha
2019	—	`conf`	Geographic-categorical diversification in POI recommendations. WebMedia Rodrigo Carvalho, Nícollas Silva, Luiz Chaves, Adriano C. M. Pereira, Leonardo Rocha
2019	—	`conf`	How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog? ICCS (1) Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2019	J	`jnl`	The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains. Inf. Syst. Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2018	—	`conf`	FAiR: A Framework for Analyses and Evaluations on Recommender Systems. ICCSA (3) Diego Carvalho, Nícollas Silva, Thiago Silveira, Fernando Mourão, Adriano C. M. Pereira, Diego Dias, Leonardo Rocha
2018	—	`conf`	Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services. WebMedia Diego Carvalho, Nícollas Silva, Alan Cardoso, Elverton C. Fazzion, Adriano C. M. Pereira, Leonardo Rocha
2017	—	`conf`	Characterizing User Behavior and Items in Multimedia Streaming Services. WebMedia Diego Carvalho, Nícollas Silva, Adriano C. M. Pereira, Leonardo Rocha
2017	—	`conf`	Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains. WebMedia Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha
2017	J	`jnl`	Non-personalized Movie Recommendation by Maximum k-Coverage. J. Inf. Data Manag. Nícollas Silva, Diego Carvalho, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha