most citedA Personalized Recommender System Based-on Knowledge Graph Embeddings

11 citations · 28 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IR2024

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…

cs.IR2024

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…

cs.CY2023★ 1 cited

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…

cs.IR2023

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…

cs.IR2023★ 8 cited

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…

cs.AI2023★ 11 cited

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…

cs.IR2023★ 8 cited

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…

cs.IR2023

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…