Nowadays, e-learning, an intelligent learning system based on the formal teaching
methodology but with some electronic properties or resources, plays a major role for …

The recommender system's objective is to recommend items to users. Providing
personalized suggestions to users is a challenging task. The traditional recommendation …

Collaborative filtering (CF) is one of the most popular and commonly used recommendation
methods. Currently, most rating prediction CF methods select top-N recommendations …

Abstract An efficient Cluster Based Cab Recommender System (CBCRS) assists the cab
drivers with the recommendations about passenger pickup location available at the shortest …

Nowadays, shopping malls use tactics that affect customers psychologically. They arrange
items based on human psychology. Likewise, the E-commerce industry aims to increase …

Recommender systems (RS) are information filtering systems that attempt to predict a user's
rating or preference for an item. It addresses the issue of information overload by providing …

HRM (Human Resource Management) plays a major role in identifying t talented employees
in the organization. The growth of an organization depends upon the involvement and …

While the use of semantic technologies is now commonplace in the cultural heritage sector
and several semantically annotated cultural heritage datasets are publicly available, there …

In recent days mobile network platforms enables communication among a wide range of
people especially, sharing multimedia contents such as text, image, video, and audio to …

In today's era, there are significant difficulties to identify and separate germs from an
untreated blood sample or serum. Many passive separation methods are available which …