Abstract | ||
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Continuing our work from the inaugural running of the Clinical Decision Support track in 2014, we submitted runs to the 2015 evaluation. Our approach this year was very similar to that used in 2014 (Xu et al., 2014). Our submitted runs were created using the JHU HAIRCUT retrieval engine, and featured use of character n-gram indexing and use of pseudo-relevance feedback. The main contribution is investigating the retrieval of scientific medical documents using a domain independent approach. |
Year | Venue | Field |
---|---|---|
2015 | TREC | Medical documents,Information retrieval,Computer science,Haircut,Search engine indexing,Clinical decision support system |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
6 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paul McNamee | 1 | 29 | 5.30 |