From sensors to knowledge: Communicate and decide- Lab-STICC
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- MOKHTARI Yacine
MOKHTARI Yacine
PhD student - IMT Atlantique
Team :
MOTEL
Phone : +33 2 29 00 14 46
Address :
IMT Atlantique - D03-113 - BREST
Keywords : Knowledge representation, Recommender Systems, eXplainable AI, XAI, Graph Neural Networks, GNN.
I am a CIFRE PhD student at Intescia Group, where I work on explainable knowledge graph-based recommendation systems based for public and private tenders, targeting the group’s client companies. My responsibilities include:
- the design of a knowledge graph, with its corresponding ontology, that describes the ecosystem related to tenders,
- the prototyping of inspectable deep recommender systems which components can be inspected and recommendations can be traced and explained,
- extensive comparaison with SOTA GNN-based algorithms on several axis including sparsity, hubness, cold-start...
My research interests include:
- Knowledge (Heterogeneous) Graph-based Recommender Systems
- Knowledge Representation, Semantic Web, and RDF data
- Explainable AI (XAI), particularly in recommender systems