Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions of relevant items to users. These systems have received increasing attention …

Recommender systems are effectively used as a personalized information filtering
technology to automatically predict and identify a set of interesting items on behalf of users …

The web provides excellent opportunities to businesses in various aspects of development
such as finding a business partner online. However, with the rapid growth of web …

Purpose–The purpose of this paper is to develop a hybrid semantic recommendation system
to provide personalized government to business (G2B) e‐services, in particular, business …

Automatic recommenders are now omnipresent in e-commerce websites, as selecting and
offering to users products they may be interested in can considerably increase sales …

The advent of Digital TV and Personal Digital Recorders promise to change the way people
watch TV. The higher efficiency of digital coding will lead to increasing the number of …

Recommender systems in online shopping automatically select the most appropriate items
to each user, thus shortening his/her product searching time in the shops and adapting the …

Semantic-enhanced recommendation systems are promising approaches to overcome the
sparsity and cold-start problems, which are hard to handle using the conventional …

Recommender systems and services are now widely used to support decision-making in the
fields characterized by the selection from a large number of alternatives with a significant …