Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...

The method is described in Phys. Rev. B 110, 235131 (2024), which extends the scalar-valued approach introduced in Phys. Rev. B 110, 035154 (2024). For applications involving real-frequency data used ...

Abstract: Recommendation systems play an important role in creating personalized content for consumers, improving their overall experiences across several applications. Providing the user with ...