Pedro R. Pires

According to our database, Pedro R. Pires authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

The Bandit's Blind Spot: The Critical Role of User State Representation in Recommender Systems.

Pedro R. Pires, Gregório F. Azevedo, Rafael T. Sereicikas, Pietro Lo Presti Campos, Tiago A. Almeida

CoRR, April, 2026

Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts.

Rafael T. Sereicikas, Pedro R. Pires, Gregório F. Azevedo, Tiago A. Almeida

CoRR, April, 2026

2025

Beyond Recommendations: Intrinsic Evaluation Strategies for Item Embeddings in Recommender Systems.

Pedro R. Pires, Tiago A. Almeida

J. Braz. Comput. Soc., 2025

Interact2Vec - An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems.

Pedro R. Pires, Tiago A. Almeida

Appl. Soft Comput., 2025

Collaborative filtering through weighted similarities of user and item embeddings.

Pedro R. Pires, Rafael T. Sereicikas, Gregório F. Azevedo, Tiago A. Almeida

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation.

Pedro R. Pires, Gregório F. Azevedo, Pietro Lo Presti Campos, Rafael T. Sereicikas, Tiago A. Almeida

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2022

Interact2Vec: Neural Item and User Embedding for Collaborative Filtering.

Pedro R. Pires, Tiago A. Almeida

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Time-Dependent Item Embeddings for Collaborative Filtering.

Pedro R. Pires, Amanda C. Pascon, Tiago A. Almeida

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2018

Evaluating the impact of corpora used to train distributed text representation models for noisy and short texts.

Johannes V. Lochter, Pedro R. Pires, Carlos Bossolani, Akebo Yamakami, Tiago A. Almeida

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018