Novel data sources bring new opportunities to improve the quality of
rec...
In recent years, Variational Quantum Algorithms (VQAs) have emerged as a...
Feature selection is of great importance in Machine Learning, where it c...
Feature selection is a common step in many ranking, classification, or
p...
This work explores the reproducibility of CFGAN. CFGAN and its family of...
The promise of quantum computing to open new unexplored possibilities in...
It is common for video-on-demand and music streaming services to adopt a...
Many video-on-demand and music streaming services provide the user with ...
In this paper we provide an overview of the approach we used as team Cre...
In this article, we introduce the ContentWise Impressions dataset, a
col...
In recent years, algorithm research in the area of recommender systems h...
The design of algorithms that generate personalized ranked item lists is...
In order to improve the accuracy of recommendations, many recommender sy...
Deep learning techniques have become the method of choice for researcher...
An Item based recommender system works by computing a similarity between...
Cold-start is a very common and still open problem in the Recommender Sy...
Item-item collaborative filtering (CF) models are a well known and studi...