Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …

The evolution of intelligent and data‐driven systems has pushed for the tectonic transition
from ancient medication to human‐centric Healthcare 4.0. The rise of Internet of Things …

Previous studies have concluded that there are significant differences in travelers'
preferences depending on the trip type. The problem of extracting users' preferences from a …

Linked Open Data (LOD) is an emerging Web technology to store and publish structured
data in the form of interlinked knowledgebases like DBpedia, Freebase, Wikidata, and Yago …

Recommender System is an efficient tool that consider an individual's opinion to identify
their content more appropriately and selectively. This system has been applied to various …

The objective of the paper is to present a new ensemble of Naïve Bayes classifiers model for
an application of hotel searching. The dataset were collected from 293 reviews of 15 hotels …

Abstract Context Aware Recommender Systems (CARS) have become an important
research area since its introduction in 2001 by (Herlocker and Konstan, 2001) and …

A Recommendation System is a crucial Machine Learning algorithm that provides
suggestions for various applications and uses computer algorithms or software to analyse …

Document classification particularly in biomedical research plays a vital role in extracting
knowledge from medical literature, journal, article and report. To extract meaningful …

With the increasing advance of computer and information technologies, numerous
documents have been published online as well as offline, and as new research fields have …