4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.IR2021★ 4 cited
Hybrid Model with Time Modeling for Sequential Recommender Systems
Marlesson R. O. Santana, Anderson Soares
Deep learning based methods have been used successfully in recommender system problems. Approaches using recurrent neural networks, transformers, and attention mechanisms are usefu…
cs.IR2020
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces
Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo +4
Recommender Systems are especially challenging for marketplaces since they must maximize user satisfaction while maintaining the healthiness and fairness of such ecosystems. In thi…