In recent decade, the number of devices involved with the Internet of Things (IoT)
phenomena has increased dramatically. Parallel to this, fog computing paradigm has been …

A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

This article explores one of the key enablers of beyond 4G wireless networks leveraging
small cell network deployments, proactive caching. Endowed with predictive capabilities and …

In order to cope with the relentless data tsunami in 5G wireless networks, current
approaches such as acquiring new spectrum, deploying more BSs, and increasing nodes in …

A standard model for Recommender Systems is the Matrix Completion setting: given
partially known matrix of ratings given by users (rows) to items (columns), infer the unknown …

Recently, many IoT applications, such as smart transportation, healthcare, and virtual and
augmented reality experiences, have emerged with fifth-generation (5G) technology to …

Most real-world recommender systems are deployed in a commercial context or designed to
represent a value-adding service, eg, on shopping or Social Web platforms, and typical …

Neural networks have not been widely studied in Collaborative Filtering. For instance, no
paper using neural networks was published during the Net-flix Prize apart from …

To address the vast multimedia traffic volume and requirements of user quality of experience
in the next‐generation mobile communication system (5G), it is imperative to develop …

In recent years, the textile and fashion industries have witnessed an enormous amount of
growth in fast fashion. On e-commerce platforms, where numerous choices are available, an …