This paper examines the impact of social stratification on trust in recommender systems.
Recommender systems have become an essential tool for users to navigate vast amounts of …

Information retrieval from huge social web data is a challenging task for conventional search
engines. Recently, information filtering recommender systems may help to find movies …

Multidisciplinary sustainable development is an important and complex system for
comprehensive universities. Typically, a comprehensive university's objective is to create a …

Hybrid recommendation systems are increasingly crucial for businesses aiming to boost
revenue and customer engagement. These systems integrate various algorithms, each with …

The above article from IET Communications, published online on 24 November 2022 in
Wiley Online Library (wileyonlinelibrary. com), has been retracted by agreement between …

Digital archives (DAs) usually store diverse expert-level materials. Nowadays, access to DAs
is increasing for non-expert users, However, they might have difficulties formulating …

Recommender systems are generally used in several domains, like e-commerce sites and
social networks. E-learning systems use recommendation techniques to facilitate and …

In recent years, social enterprises have gradually emerged as a major force in community
governance. In order for social enterprises to better participate in community governance …

COVID-19 crisis expedited the spread of e-commerce, moving beyond luxury goods and
services and towards new businesses, product categories and basic necessities that are …

In 21 st century, AI-based intelligent recommendation system uses rating predictions, which
are frequently utilized and helps users swiftly filter down their options and make informed …