Abstract Web 2.0 and its services, such as social networks, have significantly influenced
various businesses, including e-commerce. As a result, we face a new generation of e …

Recommender Systems learn users' preferences and tastes in different domains to suggest
potentially interesting items to users. Group Recommender Systems generate …

Group recommender systems are information filtering and decision support applications that
are aimed at aiding a group of users in making decisions when they are considering a set of …

Recommender Systems (RS) are used to help people reduce the amount of time they spend
to find the items they are looking for. One of the most successful techniques used in RS is …

Abstract Recommender Systems (RSs) have played an important role in online retailing
portals and customers' decision-making processes. Recommender systems that are based …

Recommender systems in mobile tourism have attracted considerable interest during the
past decade. However, most existing recommender systems in mobile tourism fail to exploit …

Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …

Rapid growth of web and its applications has created a colossal importance for
recommender systems. Being applied in various domains, recommender systems were …

Recommender system is an emerging field of research with the advent of World Wide Web
and E-commerce. Recently, an increasing usage of social networking websites plausibly …

Abstract Recommender Systems (RSs) have been extensively utilized as a means of
reducing the information overload and offering travel recommendations to tourists. The …