In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
We followed the work of an international research network that holds regular meetings in technology-enhanced environments. The team is geographically distributed and to support its...
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...