In recent years, the use of recommender systems has become popular on the web. To
improve recommendation performance, usage, and scalability, the research has evolved by …

In the era of online business, many e-commerce sites have evolved which recommend items
according to one's needs and interests. Plenty of data is available to be processed to make …

Owing to the balanced electrical properties of graphene nanoribbon field effect transistors
(GNRFETs), they are suitable next-generation devices for designing high performance …

Nowadays, manufacturers are shifting from a traditional product-centric business paradigm
to a service-centric one by offering products that are accompanied by services, which is …

The rising popularity of online shopping has led to a steady stream of new product
evaluations. Consumers benefit from these evaluations as they make purchasing decisions …

Manufacturers today compete to offer not only products, but products accompanied by
services, which are referred to as product-service systems (PSSs). PSS mass customization …

In order to accurately grasp the actual search habits of online learning objects and establish
a more reasonable multi-level recommendation scheme, a multi-level recommendation …

Recommendation Systems (RS) are tools that recommend items to be viewed by users.
While these tools have gained popularity since the 1990s they can be found in most …

With the exponential increase in information, it has become imperative to design
mechanisms that allow users to access what matters to them as quickly as possible. The …

In practice, the most important aspect has been to suggest items of interest to users based
on their prior choices. In recent decades, recommendation systems have been highly …