Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …

Matrix Factorization is a successful approach for generating an effective recommender
system. However, most existing matrix factorization methods suffer from the sparsity and cold …

Easy internet access and technological advancements have resulted in information overload
and a plethora of options, making decision-making extremely difficult. Recommender …

Micro-video online platforms have become prevalent in recent years, necessitating effective
recommender systems to help identify users' preferences. Previous works have made …

In the current digital landscape, both information consumers and producers encounter
numerous challenges, underscoring the importance of recommender systems (RS) as a vital …

The Internet era is an era of information explosion. By 2022, the global Internet users have
reached more than 4 billion, and the social media users have exceeded 3 billion. People …

With the development of the Web, users spend more time accessing information that they
seek. As a result, recommendation systems have emerged to provide users with preferred …

Various services and applications based on information and communications technology
(ICT) are converging with cultural aspects of historical implementations. At the same time …

Recommender systems have become an indispensable engine for online applications,
which can help users locate the items they need among numerous other candidate items …

Recommender systems are developed to personalize services for each user. The focus of
recommender systems is to accurately discover the unknown preferences of users. To …