Flexible recommender systems based on graphs
Résumé
— The objective of this paper is to share Kernix's approach to build flexible recommender systems based on graph oriented databases. The integration of entities, and relationships between them, into a unique graph structure allows to design recommendations as graph traversals. This approach offers a flexible framework allowing to handle the variety of entities of interest and enabling to design rich strategies in order to compute recommendations for various use cases.
Origine | Fichiers produits par l'(les) auteur(s) |
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