11 citations · 28 across the 12 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…