The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
This paper presents a method for generating indexable and browsable keyword metadata from ASR transcripts by leveraging the Web. Search engine queries are built from an ASR transc...
Kishan Thambiratnam, Gang Li, Sha Meng, Frank Seid...
This paper details the participation of the XLDB group from the University of Lisbon at the GeoCLEF task of CLEF 2006. We tested text mining methods that make use of an ontology t...
Bruno Martins, Nuno Cardoso, Marcirio Silveira Cha...