Hybrid Quality-Based Recommender Systems: A Systematic Literature Review.

As technology develops, consumer behavior and how people search for what they want are constantly evolving. Online shopping has fundamentally changed the e-commerce industry. Although there are more products available than ever before, only a small portion of them are noticed; as a result, a few items gain disproportionate attention.

Investigating Contrastive Pair Learning's Frontiers in Supervised, Semisupervised, and Self-Supervised Learning.

In recent years, contrastive learning has been a highly favored method for self-supervised representation learning, which significantly improves the unsupervised training of deep image models. Self-supervised learning is a subset of unsupervised learning in which the learning process is supervised by creating pseudolabels from the data themselves. Using supervised final adjustments after unsupervised pretraining is one way to take the most valuable information from a vast collection of unlabeled data and teach from a small number of labeled instances.

[Post-partum eclampsia: epidemiology and prognosis].

Introduction: The post-partum eclampsia occurs usually in the first 48 hours, its incidence is between 13 and 37% of all eclampsia. The goal of this prospective study was to analyse the epidemiologic data and the prognosis of this complication in the post-partum stage.

Materials And Methods: We enrolled between January 1st 2000 to December 31st 2003 all eclampsia admitted to the intensive care unit of the maternity of the university hospital centre Ibn Rochd of Casablanca, Morocco.