11 citations · 28 across the 8 of their papers we have counts for
6 papers · 1 filter
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In today's data-rich environment, recommender systems play a crucial role in decision support systems. They provide to users personalized recommendations and explanations about the…
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…
Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In the digital age, it is crucial to understand and tailor experiences for users interacting with systems and applications. This requires the creation of user contextual profiles t…
A Constraint-based Recommender System via RDF Knowledge Graphs
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Knowledge graphs, represented in RDF, are able to model entities and their relations by means of ontologies. The use of knowledge graphs for information modeling has attracted inte…
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In today's era of information explosion, more users are becoming more reliant upon recommender systems to have better advice, suggestions, or inspire them. The measure of the seman…
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…