Nícollas Silva

Orcid: 0000-0003-4393-3348

According to our database1, Nícollas Silva authored at least 31 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience.
Trans. Recomm. Syst., March, 2023

A Survey on Review - Aware Recommendation Systems.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

A Complete Framework for Offline and Counterfactual Evaluations of Interactive Recommendation Systems.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Integrating Counterfactual Evaluations into Traditional Interactive Recommendation Frameworks.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2022
A reproducible POI recommendation framework: Works mapping and benchmark evaluation.
Inf. Syst., 2022

Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions.
Expert Syst. Appl., 2022

Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Interactive POI Recommendation: applying a Multi-Armed Bandit framework to characterise and create new models for this scenario.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

iRec: An Interactive Recommendation Framework.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Stacking Recommender System Based on Contextual Information for Fashion Retails.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021
Points of Interest recommendations: Methods, evaluation, and future directions.
Inf. Syst., 2021

Effective and diverse POI recommendations through complementary diversification models.
Expert Syst. Appl., 2021

A contextual approach to improve the user's experience in interactive recommendation systems.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

2020
A Survey on Point-of-Interest Recommendation in Location-based Social Networks.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Combining complementary diversification models for personalized POI recommendations.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not?
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

How to Improve the Recommendation's Accuracy in POI Domains?
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains.
Inf. Syst., 2019

Exploiting the user activity-level to improve the models' accuracy in point-of-interest recommender systems.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Geographic-categorical diversification in POI recommendations.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog?
Proceedings of the Computational Science - ICCS 2019, 2019

Efficient Parallel Associative Classification Based on Rules Memoization.
Proceedings of the Computational Science - ICCS 2019, 2019

A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services.
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

FAiR: A Framework for Analyses and Evaluations on Recommender Systems.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017
Non-personalized Movie Recommendation by Maximum k-Coverage.
J. Inf. Data Manag., 2017

Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

Characterizing User Behavior and Items in Multimedia Streaming Services.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017


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