Over two decades, context awareness has been incorporated into recommender systems in
order to provide, not only the top-rated items to consumers but also the ones that are …

Context-aware recommender system (CARS) is a highly researched and implemented way
of providing a personalized service that helps users to find their desired content. One of the …

With the increasing amount of web services on the Internet, personalized web service
selection and recommendation are becoming more and more important. In this paper, we …

Due to the popularity of service-oriented architectures for various distributed systems, an
increasing number of Web services have been deployed all over the world. Recently, Web …

Context-aware recommendation (CARS) has been shown to be an effective approach to
recommendation in a number of domains. However, the problem of identifying appropriate …

With the expansion of information on the web, recommendation systems have become one
of the most powerful resources to ease the task of users. Traditional recommendation …

Context-aware recommender systems (CARS) adapt their recommendations to users'
specific situations. In many recommender systems, particularly those based on collaborative …

Recommendation system (RS) is designed to provide personalized services based on the
users' historical data. It has been applied in various fields and is expected to recommend the …

Context-aware recommender systems help users find their desired content in a reasonable
time, by exploiting the pieces of information that describe the situation in which users will …

Quality of service (QoS) has been playing an increasingly important role in today's Web
service environment. Many techniques have been proposed to recommend personalized …