We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retriev...
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects...