In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
We consider the problem of efficiently computing weighted proximity best-joins over multiple lists, with applications in information retrieval and extraction. We are given a multi-...
AnHai Doan, Haixun Wang, Hao He, Jun Yang 0001, Ri...
Context modeling has been long acknowledged as a key aspect in a wide variety of problem domains. In this paper we focus on the combination of contextualization and personalizatio...
Phivos Mylonas, David Vallet, Pablo Castells, Miri...
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Abstract. Modern document collections often contain groups of documents with overlapping or shared content. However, most information retrieval systems process each document separa...
Andrei Z. Broder, Nadav Eiron, Marcus Fontoura, Mi...