2 citations · 6 across the 9 of their papers we have counts for
9 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…
CORec-Cri: How collaborative and social technologies can help to contextualize crises?
Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre +1
Crisis situations can present complex and multifaceted challenges, often requiring the involvement of multiple organizations and stakeholders with varying areas of expertise, respo…
Constraint-based recommender system for crisis management simulations
Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre +1
In the context of the evacuation of populations, some citizens/volunteers may want and be able to participate in the evacuation of populations in difficulty by coming to lend a han…
CBPF: leveraging context and content information for better recommendations
Zahra Vahidi Ferdousi, Dario Colazzo, Elsa Negre
Recommender systems help users to find their appropriate items among large volumes of information. Different types of recommender systems have been proposed. Among these, context-a…