11 citations · 28 across the 12 of their papers we have counts for
12 papers
KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
Authoritative competency frameworks such as ESCO, ROME, and O*NET are essential for aligning education with labor market needs, yet their technical complexity and structural hetero…
MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
Mohammed Oussama Seddini, Mohamed Ez-Zaouia, Ngoc Luyen Le +1
Mixed Reality (MR) offers immersive and multimodal opportunities for education but remains difficult for teachers to author without technical expertise. We propose MRGEN, a concept…
Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models
Ngoc Luyen Le, Marie-Hélène Abel
Recent advancements in language models and pre-trained language models like BERT and RoBERTa have revolutionized natural language processing, enabling a deeper understanding of hum…
Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
Ngoc Luyen Le, Marie-Hélène Abel
Group recommender systems aim to generate recommendations that align with the collective preferences of a group, introducing challenges that differ significantly from those in indi…
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…
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…
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…
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…