A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …

Recommender systems use intelligent algorithms to learn a user's preferences and provide
them relevant suggestions. Lack of sufficient ratings–also known as data sparsity problem …

Nowadays, e-commerce websites are emerging as a new market and allow the millions of
product to the user for sale. The selection of product from millions of product requires an …

Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a
wide range of domains and applications. Dictionary learning (DL) models, which are highly …

The e-learning recommender system in learning institutions is increasingly becoming the
preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering …

With the development of mobile platform, such as smart cellphone and pad, the E‐Learning
model has been rapidly developed. However, due to the low completion rate for E‐Learning …

Collaborative recommender systems offer a solution to the information overload problem
found in online environments such as e-commerce. The use of collaborative filtering, the …

Abstract Internet of Things (IoT) has enhanced the appearance of the information and
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …

The paper gives an applicable model called colored balanced traveling salesman problem
(CBTSP), it is utilized to model optimization problems with partially overlapped workspace …