systems do the data mining on web access logs, discover user’s access patterns, and filter the information on behalf of the user at the server side. One critical limitation of traditional recommendation system is the lack of user’s private daily data, such as schedules, favorite websites and personal

among users. These differences are captured in a user model, a structure holding all relevant user-related information. We present contributions in both data collection and processing stages of user modeling process, focusing on open corpus web-based systems, where the content can be dynamically added

the perspective of a non-programmer or end-user, the distinctions between these technologies are not at all clear-cut. All of them are able to produce dynamically modified text documents, and several can potentially be used to create apparently identical results. Yet some of them are classified in professional

Recommendation systems have been widely used in E-commerce sites, social networks, etc. One of the core tasks in rec-ommendation systems is to predict the users ’ ratings on items. Although many models and algorithms have been proposed, how to make accurate prediction for new users with extremely

Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending items is largely ignored. We propose a recommender system that works directly with these networks to distribute

Abstract—In multimedia social networks, there exists complicated dynamics among users who share and exchange multimedia content. Using multimedia fingerprinting as an example, this paper investigates the human behavior dynamics in the multimedia social networks with side information. Side

environment. Multiple secondary users (SUs) transmit to the secondary base station under the transmit power (TP) and interference temperature (IT) at the primary base station constraints. In order to perform a general analysis, a theoretical dynamic fading model termed hyper-fading model, which is suitable

In this paper, we study and extend the concept of model-mediated teleoperation (MMT) for teleaction systems which provide live video feedback from the remote side with a time delay. In MMT, the haptic feedback is rendered locally on the operator side using a simple object surface model in order

VTIS is a dynamic notification system that takes in a user’s route and calculates the time-delay imposed by disruptions to the normal traversal. The disruptions are calculated by using crowdsourced notifications. This is accomplished by the creation of a client side application for notification

rendering. Parallelism and information filtering are exploited to produce a highly scalable system that can support huge, highly active worlds, accessed simultaneously by large numbers of users. A cluster-based parallel server is responsible for maintaining the dynamic world state, and most of the world