A collaborative filtering system (CF) aims at filtering huge amount of information, in order to
guide users of web applications towards items that might interest them. Such a system, …

… Accordingly, we revamp two leading collaborative filtering recommendation approaches.
Evaluation is made on a large movie rating dataset by Netflix. Results are encouraging and …

… dynamic environments. This study systematically reviews QoS prediction for web services,
focusing on Collaborative Filtering (… remarkable growth of the World Wide Web has spurred a …

… The World Wide Web, interconnecting a myriad of information … Collaborative Filtering (CF) is
a recommendation technique … -mouth” and is now largely applied in Web 2.0 platforms. In CF …

… In order to study the algorithm’s ability to cope with temporal dynamics, we removed all
users and movies with age less than 1 year and then selected a subset formed by the 35,000 …

… The traditional collaborative filtering algorithm ignores the factors that users’ social relations
… propose a collaborative filtering algorithm with social information and dynamic time windows…

… Collaborative Filtering (CF). Consequently, combining dynamic changes of users and items
with collaborative information is one of the main tasks in dynamic recommender systems. …

We show that it is possible to collect data that are useful for collaborative filtering (CF) using
an autonomous Web spider. In CF, entities are recommended to a new user based on the …

… of collaborative filtering in a recommender system that can be used to perform dynamic
assessment in the context of dynamic … : (a) the traditional collaborative filtering with scores (CF-S), …

… The continued growth and increasing complexity of Web-based applications, from e-commerce,
to Web services, to dynamic content providers; has led to a proliferation of …