|
|
|
|
|
Aisha Sikder and Andreas Züfle
Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization. But, oblivious of location information, SVD has limitations in predicting var...
ver más
|
|
|
|
|