Amir Reza Mohammadi

Orcid: 0000-0003-3934-6941

According to our database1, Amir Reza Mohammadi authored at least 11 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems.
CoRR, February, 2026

Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search.
Trans. Recomm. Syst., December, 2025

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems.
Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, 2025

Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence.
Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, 2025

2024
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Explainable Graph Neural Network Recommenders; Challenges and Opportunities.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems.
Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 2023


  Loading...