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TREC
2007
14 years 18 days ago
Using IR-n for Information Retrieval of Genomics Track
Nowadays there is a big amount of biomedical literature which uses complex nouns and acronyms of biological entities thus complicating the task of retrieval specific information....
María Pardiño, Rafael M. Terol, Patr...
TREC
2007
14 years 18 days ago
The Hedge Algorithm for Metasearch at TREC 2007
Aslam, Pavlu, and Savell [3] introduced the Hedge algorithm for metasearch which effectively combines the ranked lists of documents returned by multiple retrieval systems in resp...
Javed A. Aslam, Virgiliu Pavlu, Olena Zubaryeva
TREC
2007
14 years 18 days ago
Overview of the TREC 2007 Blog Track
Craig Macdonald, Iadh Ounis, Ian Soboroff
TREC
2007
14 years 18 days ago
Language Models for Genomics Information Retrieval: UIUC at TREC 2007 Genomics Track
The University of Illinois at Urbana-Champaign (UIUC) participated in TREC 2007 Genomics Track. Our general goal of participation is to apply language modelbased approaches to the...
Yue Lu, Jing Jiang, Xu Ling, Xin He, ChengXiang Zh...
TREC
2007
14 years 18 days ago
Relaxed Online SVMs in the TREC Spam Filtering Track
Relaxed Online Support Vector Machines (ROSVMs) have recently been proposed as an efficient methodology for attaining an approximate SVM solution for streaming data such as the on...
David Sculley, Gabriel Wachman
TREC
2007
14 years 18 days ago
MultiText Legal Experiments at TREC 2007
For the legal track we used the Wumpus search engine and investigated several methods that have proven successful in other domains, including cover density ranking and Okapi BM25 ...
Stefan Büttcher, Charles L. A. Clarke, Gordon...
TREC
2007
14 years 18 days ago
TREC 2007 ciQA Track at RMIT and CSIRO
Mingfang Wu, Andrew Turpin, Falk Scholer, Yohannes...
TREC
2007
14 years 18 days ago
York University at TREC 2007: Enterprise Document Search
York University evaluated a prepcessing approach for this year’s enterprise document search task. With different parsing tools, we create two data sets. Based on each data set,...
Yu Fan, Xiangji Huang