The personalized content services in museums are motivated by the need to enhance the
visitors' experience through recommendations which consider the context of their visit, and …

The social computing, such as social networking services (SNSs) and social Networking
Platforms (SNPs) provide a coherent medium through which people can be interactive and …

A tourist has time and budget limitations; hence, he needs to select points of interest (POIs)
optimally. Since the available information about POIs is overloading, it is difficult for a tourist …

According to Cisco's predictions, there will be more than 50 billions of devices connected to
the Internet by 2020. The devices and produced data are mainly exploited to build domain …

The sequential pattern mining-based recommendation has recently become a popular
research topic in the field of recommender system. However, this kind of methods usually …

The importance of Linked Open Data (LOD) has not yet been recognized by ordinary
people. As the effort to involve them into LOD activity, we have developed Yokohama Art …

With the ever-increasing diversification of people's interests and preferences, artwork has
become one of the most popular commodities or investment goods in E-commerce, and it …

In recent years, recommendation systems have seen significant evolution in the field of
knowledge engineering. Most of the existing recommendation systems based their models …

In this paper we present a novel approach for using intelligent complex event processing
with Augmented Reality to achieve Adapted Augmented Reality in Cultural Heritage domain …

In this paper, we consider the problem of designing personalised museum visits. Given a set
of preferences and constraints a visitor might express on her visit, the aim is to compute the …