This article presents an overview of an Internet of Things (IoT) platform design based on a
horizontal architectural principle. The goal in applying this principle is to overcome many of …

Explicable recommendation system is proved to be conducive to improving the
persuasiveness of the recommendation system, enabling users to trust the system more and …

In this “Info-plosion” era, recommendation systems (or recommenders) play a significant role
in finding interesting items in a surge of the on-line digital activity and e-commerce. Because …

Recommender systems are challenged with providing accurate recommendations that meet
the diverse preferences of users. The main information sources for these systems are the …

Collaborative filtering has proved to be one of the most popular and successful rating
prediction techniques over the last few years. In collaborative filtering, each rating prediction …

Recommender systems aim to recommend items to users by taking into account their
probable interests. This study focuses on creating a model that utilizes multiple sources of …

An improved recommendation algorithm based on Conditional Variational Autoencoder
(CVAE) and Constrained Probabilistic Matrix Factorization (CPMF) is proposed to address …

This paper presents the horizontal approach for the development of Internet of Things (IoT)
platforms, based on a generic, multi-service, cloud-based IoT operational platform, called …

The stock market is extremely volatile and complex in nature, yet it is crucial to the financial
element of the country's progress. Important political concerns, analyst calls, news stories …