The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Abstract. In this paper we present a rule-based personalization framework for encapsulating and combining personalization algorithms known from adaptive hypermedia and recommender ...
This paper presents a new technology for supporting flexible query management in recommender systems. It is aimed at guiding a user in refining her query when it fails to return ...
In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardw...
Peer-to-Peer (p2p) networks are used for sharing content by millions of users. Often, meta-data used for searching is missing or wrong, making it difficult for users to find cont...