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20232026
most citedA Personalized Recommender System Based-on Knowledge Graph Embeddings

11 citations · 28 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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…