Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …

Recommender systems are software mechanisms whose usage is to offer suggestions for
different types of entities like products, services, or contacts that could be useful or …

In recent years, the type and quantity of news are growing rapidly, and it is not easy for users
to find the news they are interested in the massive amount of news. A news recommendation …

Recommendation Systems (RS) play a crucial role in delivering personalized item
suggestions, yet traditional methods often struggle with accuracy, scalability, efficiency, and …

News recommendation is an intelligent technology that aims to provide users with matching
news content based on their preferences and interests. Nevertheless, current methodologies …

In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

To extract finer-grained segment features from news and represent users accurately and
exhaustively, this article develops a news recommendation (NR) model based on a sub …

Aiming at the problems of existing news recommendation methods, such as inadequate
exploration of the semantic information of news, neglecting potential hotspot features of …

Journalism today has become a more dynamic and technology-oriented profession unlike
conventional journalism. At the same time, it has also become a challenging task to handle …