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

This chapter presents the recommendation techniques applied in Personal Program Guide
(PPG). This is a system generating personalized Electronic Program Guides for Digital TV …

This paper brings together research from two different fields–user modelling and web
ontologies–in attempt to demonstrate how recent semantic trends in web development can …

Purpose This study aims to create an idea and a framework to enhance customer stickiness
and improve transformation efficiency flow of tourism products from online to offline platforms …

With the advent of ubiquitous computing environments, it has become increasingly important
for applications to take full advantage of contextual information, such as the user's location …

The advances in Internet Protocol Television (IPTV) technology enable new user-centric and
interactive TV model, in which context-awareness is promising in making users' interaction …

This paper focuses to a formal model of user preference learning for content-based
recommender systems. First, some fundamental and special requirements to user …

Stereotypical trust modeling can be adopted by a buyer to effectively evaluate
trustworthiness of a seller who has little or no past experience in e-marketplaces. The buyer …

Digitalization of television broadcasting results in an increasing number of broadcast
channels and is making general viewers difficult to do program select operations. In view of …

Digital multimedia broadcasting service has been at the center of developing issues in
mobile environment. In contrast to traditional multimedia broadcasting systems, mobile …