Processing-In-Memory (PIM) architectures based on recent technology advances (eg,
Hybrid Memory Cube) demonstrate great potential for graph processing. However, existing …

Recommender systems are being widely applied in many application settings to suggest
products, services, and information items to potential consumers. Collaborative filtering, the …

This paper surveys domain-specific architectures (DSAs) built from two emerging memory
technologies. Hybrid memory cube (HMC) and high bandwidth memory (HBM) can reduce …

In this chapter we provide a comprehensive overview of the topic of Intelligent Techniques
for Web Personalization. Web Personalization is viewed as an application of data mining …

In a modern e-commerce recommender system, it is important to understand the
relationships among products. Recognizing product relationships—such as complements or …

Recent studies have indicated that the application of Multi-Criteria Decision Making (MCDM)
methods in recommender systems has yet to be systematically explored. This observation …

Most of electronic commerce and knowledge managementsystems use recommender
systems as the underling tools for identifying a set of items that will be of interest to a certain …

Nowadays Digital Libraries 2.0 are mainly based on the interaction between users through
collaborative applications such as wikis, blogs, etc. or new possible paradigms like the …

Recommender systems persuade as well as recommend. This study investigated some
factors that influence the perceived fit of the recommendations a system provides and user …

A graph is a structure composed of a set of vertices (ie nodes, dots) connected to one
another by a set of edges (ie links, lines). The concept of a graph has been around since the …