Leveraging recommendations using a multiplex graph database
Foutse Yuehgoh,
Sonia Djebali,
Nicolas Travers
Abstract:Purpose
By applying targeted graph algorithms, the method used by the authors enables effective prediction of user interactions and thus fulfils the complex requirements of modern recommender systems. This study sets a new benchmark for multidimensional recommendation strategies and offers a path towards more advanced and user-centric models.
Design/methodology/approach
To improve multidimensional data recommendation systems, multiplex graph structures are useful to capture various types of user interactions.… Show more
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