Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Whether dealing with Public‐Private Partnerships (PPP), or with other forms of service
provision and delivery, public managers face difficulties in responding to ever‐growing …

Since preference order is a crucial feature of data concerning decision situations, the
classical rough set model has been generalized by replacing the indiscernibility relation with …

The chapter considers the role and impact that knowledge management (KM) has had and
continues to have within public sector organisations. Taking the KM practitioner's view, the …

Knowledge-based decision support systems (KBDSS) have evolved greatly over the last few
decades. The key technologies underpinning the development of KBDSS can be classified …

The rapid development and extensive use of recommender systems (RSs) have changed
the face of online service experience. The enormous data generated and the complexity …

The rapid growth of web information provides excellent opportunities for develo** various
e-services applications in many domains. However, it has also caused information overload …

Recommender System (RS) is one of the most popular applications of Artificial Intelligence
which attracted researchers all around the world. Many machine learning algorithms are …

In this big data era, it is hard for the current generation to find the right data from the huge
amount of data contained within online platforms. In such a situation, there is a need for an …