2 citations · 6 across the 6 of their papers we have counts for
8 papers
Trajectory-Based Recommender Systems as Control Systems
Eriam Schaffter, Ahmed Bounekkar, Elsa Negre
Recommender Systems (RS) are a key research domain and play an increasing role in our content-overwhelmed lives. In this paper, we explore Trajectory-Based Recommender Systems (TBR…
Fuzzy synthetic method for evaluating explanations in recommender systems
Jinfeng Zhong, Elsa Negre
Recommender systems aim to help users find relevant items more quickly by providing personalized recommendations. Explanations in recommender systems help users understand why such…
When factorization meets argumentation: towards argumentative explanations
Jinfeng Zhong, Elsa Negre
Factorization-based models have gained popularity since the Netflix challenge {(2007)}. Since that, various factorization-based models have been developed and these models have bee…
Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining
Ngoc Luyen Le, Marie-Hélène Abel, Elsa Negre
Recognizing and learning from similar crisis situations is crucial for the development of effective response strategies. This study addresses the challenge of identifying similarit…
Context-aware feature attribution through argumentation
Jinfeng Zhong, Elsa Negre
Feature attribution is a fundamental task in both machine learning and data analysis, which involves determining the contribution of individual features or variables to a model's o…
Context-aware explainable recommendations over knowledge graphs
Jinfeng Zhong, Elsa Negre
Knowledge graphs contain rich semantic relationships related to items and incorporating such semantic relationships into recommender systems helps to explore the latent connections…