2 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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 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…
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…