11 citations · 27 across the 7 of their papers we have counts for
7 papers
Exploring Weighted Property Approaches for RDF Graph Similarity Measure
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Measuring similarity between RDF graphs is essential for various applications, including knowledge discovery, semantic web analysis, and recommender systems. However, traditional s…
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…
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…
A Personalized Recommender System Based-on Knowledge Graph Embeddings
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Knowledge graphs have proven to be effective for modeling entities and their relationships through the use of ontologies. The recent emergence in interest for using knowledge graph…
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…