This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userā...
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
Traveling to unfamiliar regions require a signiļ¬cant eļ¬ort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation...
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the āinformation overloadā problem. Collaborative Filtering (CF) is a successful re...
In this paper, we describe a Web-based spoken translation game aimed at providing language learners with an easily accessible and fun environment to practice speaking the foreign l...