Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approa...
: The Web 2.0 can be regarded as an evolutionary process of medial differentiation. Infinite online communities are emerging and disappearing. It seems that a race has started in s...
We show how Semantic Web technologies can be used to build an access control system. We follow the role-based access control approach (RBAC) and extend it with contextual attribute...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...